Journal of Pathology Informatics

Top Research Topics at Journal of Pathology Informatics?

Journal of Pathology Informatics generally zeroes in on subjects such as Digital pathology, Pathology, Artificial intelligence, Data mining and Workflow. It facilitates discussions on Digital pathology that incorporate concepts from other fields like Digital image, Medical diagnosis, Multimedia, Telepathology and Medical physics. The journal links adjacent topics like Medical physics with Concordance.

It explores research in Pathology and the adjacent study of Curriculum. While Journal of Pathology Informatics focused on Artificial intelligence, it was also able to explore topics like Computer vision and Pattern recognition. Specifically, studies on Health Administration Informatics are prevalent in the Health informatics works discussed.

• Digital pathology (30.95%)
• Pathology (25.94%)
• Artificial intelligence (23.08%)

What are the most cited papers published in the journal?

• Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. (603 citations)
• Review of the current state of whole slide imaging in pathology (250 citations)
• OpenSlide: A vendor-neutral software foundation for digital pathology (214 citations)

Research areas of the most cited articles at Journal of Pathology Informatics:

The most cited publications mostly deal with topics like Artificial intelligence, Digital pathology, Pathology, Pattern recognition and Data mining. The most cited papers facilitate discussions on Digital pathology that incorporate concepts from other fields like Field (computer science), Multimedia and Workflow. The studies on Pathology discussed at the published articles can also contribute to research in the domains of Breast cancer, Telepathology and Radiology.

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

• Internal medicine
• Artificial intelligence
• Cancer

The previous edition focused in particular on these issues:

Journal of Pathology Informatics mostly deals with topics like Digital pathology, Artificial intelligence, Pathology, Workflow and Radiology. The Digital pathology works featured in Journal of Pathology Informatics incorporate elements from Tumor microenvironment, Diagnostic accuracy, Medical physics, Computational biology and Surgical pathology. Journal of Pathology Informatics focuses on Artificial intelligence but the discussions also offer insight into other areas such as Software, Computer vision and Pattern recognition.

In addition to Pathology research, Journal of Pathology Informatics aims to explore topics under Ovarian tumor and Digital transformation. The journal addresses concerns in the field of Workflow by exploring it in line with topics in Digital image which intersect with Anatomical pathology subjects. The journal holds forums on Radiology that merges themes from other disciplines such as Ovarian carcinoma and Cohort.

The most cited articles from the last journal are:

• Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association. (4 citations)
• A Comparison of Methods for Studying the Tumor Microenvironment's Spatial Heterogeneity in Digital Pathology Specimens. (3 citations)
• Remote reporting from home for primary diagnosis in surgical pathology: A tertiary oncology center experience during the COVID-19 pandemic (3 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.

Top authors and change over time

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

• Liron Pantanowitz (72 papers) published 3 papers at the last edition, 2 less than at the previous edition,
• Anil V. Parwani (51 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Darren Treanor (19 papers) absent at the last edition,
• Ulysses J. Balis (19 papers) published 1 paper at the last edition the same number as at the previous edition,
• Yukako Yagi (13 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

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

• University of Pittsburgh (105 papers) published 1 paper at the last edition, 5 less than at the previous edition,
• Harvard University (40 papers) published 2 papers at the last edition the same number as at the previous edition,
• University of Michigan (26 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• National Institutes of Health (21 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Cleveland Clinic (16 papers) absent 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, 2.70% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.56% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.33% of all publications and 50.00% 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.

Career Prospects in Pathology Informatics

A relatively new field, Pathology Informatics has opened up exciting career prospects for aspiring professionals. Combining Pathology's analytical rigour with the transformative power of Information Technology, this discipline offers multiple paths for a fulfilling career. As a professional in this field, one can opt for research roles, contribute to academia, or become a specialist healthcare informaticist. For individuals interested in soaring new heights in Pathology Informatics, it is recommended to specialize early in their academic journey. A strong foundational understanding of Pathology and deep expertise in artificial intelligence and data mining can make you highly sought after in the field. It isn't uncommon for professionals in this field to also have a background in cross-disciplinary fields like digital pathology, workflow management, and telepathology. Just as careers in the field are diverse, so are the options for academic credentials. A Master's or doctoral degree in Pathology Informatics can certainly enhance your career prospects. That said, online credentialing programs exist and can be just as effective. These offer flexibility and industry-focused curriculum not commonly found in traditional degree programs. One specific program that has garnered considerable attention is the special education credential new hampshire online course. Ultimately, the career prospects in Pathology Informatics are as fascinating as its subject matter. Like the field it serves, this career path continues to evolve, driven by unabating advancements in technology and healthcare. As such, those who choose to journey down this road are destined for an exciting, innovation-led future.