Jennifer L. Trainor

2.3k citations
47 papers · 1.3k indexed · h-index 16
Topics
Innovations in Medical Education (14 papers)Diabetes and associated disorders (12 papers)Simulation-Based Education in Healthcare (10 papers)
Journals
New England Journal of MedicineSHILAP Revista de lepidopterologíaDiabetes Care

In The Last Decade

Jennifer L. Trainor

45 papers receiving 1.3k citations

Peers

Jennifer L. Trainor
Comparison fields: 5 of 99
  • Genetics 537
  • Endocrinology, Diabetes and Metabolism 484
  • Physiology 454
  • Surgery 271
  • Emergency Medicine 232
Replace Fiona Campbell with:
Fiona Campbell United Kingdom
Pedro Celiny Ramos Garcia Brazil
David S. Greenes United States
Morohunfolu E. Akinnusi United States
Cláudio Schvartsman Brazil
Yusuf Nagree Australia
Louis S. Binder United States
Barry E. Brenner United States
Denis Oriot France
Joan Roberts United States
Jennifer L. Trainor relative to Fiona Campbell United Kingdom Fiona Campbell's profile →
Citations per field
00.5×4.4×
Fiona Campbell · 1×
Citations per year

Countries citing papers authored by Jennifer L. Trainor

Since Specialization
Citations

This map shows the geographic impact of Jennifer L. Trainor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer L. Trainor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. Trainor more than expected).

Fields of papers citing papers by Jennifer L. Trainor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer L. Trainor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer L. Trainor. The network helps show where Jennifer L. Trainor may publish in the future.

Co-authorship network of co-authors of Jennifer L. Trainor

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Trainor. A scholar is included among the top collaborators of Jennifer L. Trainor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer L. Trainor. Jennifer L. Trainor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 15
4 1
5 2
6 4
7 15
8 11
9 11
10 38
11 5
12 6
13 4
14 52
15 28
16 64
17 477
18 50
19 51
20
Program size affects PEM resident training, survey shows
1

About Jennifer L. Trainor

Jennifer L. Trainor is a scholar working on Family Practice, Emergency Medicine and Physiology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovations in Medical Education (14 papers), Diabetes and associated disorders (12 papers) and Simulation-Based Education in Healthcare (10 papers). The work is most often cited by research in Family Practice (91 citations), Endocrinology, Diabetes and Metabolism (484 citations) and Emergency Medicine (232 citations). Jennifer L. Trainor has collaborated with scholars based in United States, Qatar and Australia. Frequent co-authors include Nicole Glaser, Kimberly S. Quayle, Nathan Kuppermann, David Nelson, Richard Malley, Ian McCaslin, Mark G. Roback, Jeffrey P. Louie, Mark Adler and Steven E. Krug. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Diabetes Care.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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