| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 344 | 309 | 470 | 41 |
The journal investigates studies in Magnetic resonance imaging, Nuclear medicine, Radiology, Pathology and Internal medicine. Mr imaging is a key component of Magnetic resonance imaging research discussed in it. The journal addresses concerns in Nuclear medicine which are intertwined with other disciplines, such as Image quality, Diffusion MRI, Perfusion, Effective diffusion coefficient and Receiver operating characteristic.
It is focused mainly on Diffusion MRI, particularly Fractional anisotropy. The majority of Perfusion studies in Journal of Magnetic Resonance Imaging are focused on the subject of Perfusion scanning. Lesion and Contrast (vision) are some topics wherein Radiology research discussed in the journal have an impact.
Journal of Magnetic Resonance Imaging connects the study in Pathology with the closely related area of In vivo. Internal medicine research featured in the journal incorporates concerns from various other topics such as Endocrinology and Cardiology. The work on Biomedical engineering addressed in Journal of Magnetic Resonance Imaging expands to the thematically related Imaging phantom.
The most cited publications primarily focus on research topics in Magnetic resonance imaging, Nuclear medicine, Radiology, Pathology and Diffusion MRI. While the most cited articles focused on Magnetic resonance imaging, they were also able to explore topics like Lesion, Internal medicine, Nuclear magnetic resonance and Biomedical engineering. The journal articles focus on Radiology but the discussions also offer insight into other areas such as Image quality, Cancer and Receiver operating characteristic.
The journal was organized to reinforce research efforts on Magnetic resonance imaging, Nuclear medicine, Internal medicine, Stage (cooking) and Cardiology. It focuses on Magnetic resonance imaging but sometimes tackles the closely related topic of Artificial intelligence which is concerned with Machine learning. The journal facilitates discussions on Nuclear medicine that incorporate concepts from other fields like Image quality, Diffusion MRI, Intraclass correlation, Reproducibility and Effective diffusion coefficient.
The presented studies in Analysis of variance fall within the purview of Internal medicine but it also intertwines with topics in In patient. In addition to Stage (cooking) research, it aims to explore topics under Logistic regression, Hepatocellular carcinoma, Radiology, Prostate cancer and Receiver operating characteristic. Most of the works presented in Journal of Magnetic Resonance Imaging deals with Radiology but it intersects with the subject of Text mining.
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 Magnetic Resonance Imaging (based on the number of publications) are:
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 Magnetic Resonance Imaging (based on the number of publications) are:
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.
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, 5.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.64% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.16% of all publications and 57.14% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
While the world of research is innately fascinating, many who are passionate about studies in Magnetic resonance imaging, Radiology or Nuclear medicine might be curious about the professional landscape beyond academia. A leap in biomedical imaging technologies, such as MRI, has unlocked numerous career paths ripe with opportunities for growth and advancements. One such opportunity is a career in nursing, especially where these technologies are in frequent use.
A special segment of this is radiology nursing. Radiology nurses are involved in the care of patients undergoing diagnostic radiation procedures such as ultrasounds, magnetic resonance imaging (MRI), and nuclear medicine scans. They prep the patients for the procedures, ensure the safety guidelines are followed during the applications of these procedures, and monitor the patients' physical conditions afterward.
While the requirements can vary, becoming a nurse typically involves receiving a Bachelor of Science in Nursing (BSN) degree, passing the NCLEX-RN exam to receive licensure, and acquiring specific experience or certification in a specialty, such as Radiology. For example, if you reside in Oregon and are wondering how to navigate the steps to your nursing career, this detailed guide on how to become a nurse in Oregon might help.
The advancements and research in biomedical imaging, such as those discussed in Journal of Magnetic Resonance Imaging, continue to push the boundaries and create rich career opportunities that combine healthcare, technology, and patient care. It provides a great career platform for those inspired by the potentials of biomedical engineering and research, and the profound impact it can have on patient care.
Jessica Dubois;Marianne Alison;Serena J Counsell;Lucie Hertz-Pannier
(2020)Chun-Hung Yeh;Derek K. Jones;Derek K. Jones;Xiaoyun Liang;Xiaoyun Liang;Xiaoyun Liang;Maxime Descoteaux
(2021)Deepa Sheth;Maryellen L Giger
(2020)Mami Iima;Maya Honda;Eric E. Sigmund;Ayami Ohno Kishimoto
(2020)Toshiaki Taoka;Shinji Naganawa
(2020)Christina Andica;Koji Kamagata;Taku Hatano;Yuya Saito;Yuya Saito
(2020)Min Zhang;Geoffrey S Young;Huai Chen;Huai Chen;Jing Li;Jing Li
(2020)Nazanin Talebloo;Mithil Gudi;Neil Robertson;Ping Wang
(2020)Anahita Fathi Kazerooni;Spyridon Bakas;Hamidreza Saligheh Rad;Christos Davatzikos
(2020)Todd D Greenberg;Michael N Hoff;Tobias B Gilk
(2020)For those interested in healthcare but seeking alternatives to traditional medical degrees, there are several valuable online options to explore. Programs such as medical billing and coding classes offer an affordable entry point into the administrative side of healthcare, equipping students with essential skills to manage patient data and insurance claims efficiently.
For individuals aiming to work more directly in patient care, finding an accessible nursing program is crucial. Discovering what is the easiest nursing program to get into can help prospective nurses find a manageable path into this rewarding field, balancing admission requirements with career goals.
Healthcare administration is another growing area, offering leadership roles within medical facilities. Students can accelerate their education by considering an accelerated healthcare administration degree online, which condenses essential coursework into a shorter period without compromising quality.
Additionally, many reputable online healthcare administration programs provide flexible study options for working professionals who want to further their careers in management and organizational roles within healthcare settings.
