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Journal of Thoracic Imaging
H-index 18

Journal of Thoracic Imaging

0883-5993

Published by: Wolters Kluwer Health

https://journals.lww.com/thoracicimaging/pages/default.aspx

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 1552 66 98 16

Additional Metrics

Number of Best Scientists*: 91
Documents by Best Scientists*: 123
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 69
SCIMAGO SJR: 0.699
Impact Factor: 1.9

Overview

Top Research Topics at Journal of Thoracic Imaging?

The journal was organized to reinforce research efforts on Radiology, Lung, Computed tomography, Pathology and Internal medicine. Studies on Radiology discussed in Journal of Thoracic Imaging link to the field of Surgery. Complication is a major topic of Surgery research presented in it.

Journal of Thoracic Imaging explores issues in Lung which can be linked to other research areas like Lung cancer and Biopsy. Computed tomography and Nuclear medicine are closely related fields of research discussed in Journal of Thoracic Imaging. Topics in Internal medicine explored in it were investigated in conjunction with research in Oncology and Cardiology.

More specifically, the research on Radiography in the journal is related to Chest radiograph.

  • Radiology (53.42%)
  • Lung (21.58%)
  • Computed tomography (17.18%)

What are the most cited papers published in the journal?

  • Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication. (434 citations)
  • A CT sign of chronic pulmonary arterial hypertension: The ratio of main pulmonary artery to aortic diameter (329 citations)
  • Adult respiratory distress syndrome profiles by computed tomography (248 citations)

Research areas of the most cited articles at Journal of Thoracic Imaging:

The journal publications tackle a plethora of topics, such as Radiology, Lung, Respiratory disease, Computed tomography and Pathology. The most cited papers focus on Radiology as well as the interrelated topics of Surgery. While Pathology is the key highlight in the published articles, thet also covered some subjects on Pneumonia and Chest radiograph.

What topics the last edition of the journal is best known for?

  • Internal medicine
  • Surgery
  • Disease

The previous edition focused in particular on these issues:

Journal of Thoracic Imaging primarily tackles Internal medicine, Cardiology, Radiology, Lung and Confidence interval. Journal of Thoracic Imaging discusses concepts in Pulmonary embolism, Cohort, Interquartile range and Ejection fraction under Internal medicine and how they intertwine with disciplines like In patient. Topics in Cardiology were tackled in line with various other fields like Odds ratio, Cardiac magnetic resonance imaging and Computed tomography.

The studies on Radiology discussed can also contribute to research in the domains of Pulmonary vein stenosis and Quantitative computed tomography. Issues in Lung were discussed, taking into consideration concepts from other disciplines like Mediastinum, Pleural effusion, Pneumothorax and Cyst. The concepts on Confidence interval presented in it can also apply to other research fields, including Emergency department, Retrospective cohort study and Emergency medicine.

The most cited articles from the last journal are:

  • Cardiac Magnetic Resonance Imaging in Coronavirus Disease 2019 (COVID-19): A Systematic Review of Cardiac Magnetic Resonance Imaging Findings in 199 Patients. (21 citations)
  • COVID-19 and its Mimics: What the Radiologist Needs to Know. (5 citations)
  • Private Tour Guide to Pediatric Coronavirus Disease of 2019 and Multisystem Inflammatory Syndrome in Children in 10 Minutes: What Thoracic Radiologists Need to Know. (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Journal of Thoracic Imaging (based on the number of publications) are:

  • Phillip M. Boiselle (67 papers) absent at the last edition,
  • U. Joseph Schoepf (53 papers) published 6 papers at the last edition, 3 less than at the previous edition,
  • Nestor L. Müller (40 papers) absent at the last edition,
  • Charles S. White (31 papers) published 1 paper at the last edition,
  • Jonathan H. Chung (29 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Thoracic Imaging (based on the number of publications) are:

  • Medical University of South Carolina (77 papers) published 7 papers at the last edition, 2 less than at the previous edition,
  • Harvard University (75 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Mayo Clinic (47 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • University of California, San Francisco (39 papers) absent at the last edition,
  • Duke University (36 papers) published 1 paper at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.78% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.08% of all publications and 51.95% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Clinical Impact and Implications

The research studies conducted and published in the Journal of Thoracic Imaging have a significant impact on various fields including but not limited to Radiology, Surgery, and Internal Medicine. The evidence-based scientific insights play a crucial role in shaping policy and practice in these disciplines. On a more specific level, the studies presented in the journal provide critical understandings to clinicians, specifically nurse practitioners, allowing them to deliver better patient care. For instance, nurses in North Carolina looking for further education on Radiology, Lung, Computed tomography, and other similar topics can utilize the resources available in the Journal of Thoracic Imaging to enhance their practice. As part of their clinical decision-making process, nurse practitioners can apply the findings from the research to direct patient care. For those nurse practitioners in North Carolina who are looking for the best educational programs that cover these critical research topics, it is recommended to look at the best np programs in north carolina. These programs, well-recognized for their content depth and quality, provide a broad perspective on a scope of subjects like Radiology, Surgery and others, contributing to an increased understanding and implementing research-based best practices in the field. The Journal of Thoracic Imaging thus serves as a valuable resource for medical professionals, clinicians, and students alike, offering the latest research and analysis in related fields and paving the path for enhanced patient care approaches.

Top Publications

  • Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication.

    Scott Simpson;Fernando U. Kay;Suhny Abbara;Sanjeev Bhalla

    (2020)
    894 Citations
  • Coronavirus Disease 2019 (COVID-19)

    (2020)
    63 Citations
  • Four-dimensional Flow Magnetic Resonance Imaging Quantification of Blood Flow in Bicuspid Aortic Valve.

    Daniel Z. Gordon;Muhannad A. Abbasi;Jeesoo Lee;Roberto Sarnari

    (2020)
    62 Citations
  • Computed Tomography-based Body Composition Analysis and Its Role in Lung Cancer Care.

    Amelie S Troschel;Fabian M Troschel;Till D Best;Henning A Gaissert

    (2020)
    50 Citations
  • Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.

    Andreas M. Fischer;Andreas M. Fischer;Akos Varga-Szemes;Simon S. Martin;Jonathan I. Sperl

    (2020)
    46 Citations
  • Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography.

    Andreas M. Fischer;Marwen Eid;Carlo N. De Cecco;Mehmet A. Gulsun

    (2020)
    43 Citations
  • Artificial Intelligence in Diagnostic Imaging: Status Quo, Challenges, and Future Opportunities.

    Puneet Sharma;Michael Suehling;Thomas Flohr;Dorin Comaniciu

    (2020)
    42 Citations
  • Imaging of the Pericoronary Adipose Tissue (PCAT) Using Cardiac Computed Tomography: Modern Clinical Implications.

    Markus Goeller;Stephan Achenbach;Hendrik Duncker;Damini Dey

    (2021)
    32 Citations
  • The Regimen of Computed Tomography Screening for Lung Cancer: Lessons Learned Over 25 Years From the International Early Lung Cancer Action Program.

    Claudia I Henschke;Claudia I Henschke;Rowena Yip;Dorith Shaham;Javier J Zulueta

    (2021)
    28 Citations
  • Machine Learning and Deep Neural Networks: Applications in Patient and Scan Preparation, Contrast Medium, and Radiation Dose Optimization.

    Matthias Eberhard;Hatem Alkadhi

    (2020)
    25 Citations

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Best Scientists Contributing to This Journal