Jennifer Bryan

38 papers receiving 2.3k citations

Jennifer Bryan's Hit Papers

Good enough practices in scientific computing. 2017 · 245 citations
2450+12+24Years since publication100200300400500

Peers

Jennifer Bryan
Comparison fields: 5 of 189
  • Cell Biology 412
  • Information Systems and Management 115
  • Mechanical Engineering 615
  • Statistics, Probability and Uncertainty 103
  • Aging 23
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Jennifer Bryan relative to Ralf Mikut Germany Ralf Mikut's profile →
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Countries citing papers authored by Jennifer Bryan

Since Specialization
Citations

This map shows the geographic impact of Jennifer Bryan'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 Bryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Bryan more than expected).

Fields of papers citing papers by Jennifer Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Bryan. 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 Bryan. The network helps show where Jennifer Bryan may publish in the future.

Co-authors

The 25 scholars most cited alongside Jennifer Bryan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer Bryan Line = papers co-authored together Jennifer Bryan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
International Status of Thermal Error Research (1990)
Hit paper breakdown →
1990548
2 2010413
3
Good enough practices in scientific computing.
Hit paper breakdown →
2017245
4 2003188
5 2008139
6 200784
7 200467
8 201265
9 201260
10 200744
11 200243
12 200442
13 200437
14 201036
15 200633
16 201631
17 200830
18 201730
19 199327
20 200926

About Jennifer Bryan

Jennifer Bryan is a scholar working on Molecular Biology, Rheumatology, Biomedical Engineering, Mechanical Engineering and Pharmacology, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Advanced Measurement and Metrology Techniques (4 papers), Cell Adhesion Molecules Research (4 papers), Scientific Computing and Data Management (3 papers), Inflammatory mediators and NSAID effects (3 papers), Data Analysis with R (3 papers), Ubiquitin and proteasome pathways (2 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Cell Biology (412 citations), Information Systems and Management (115 citations), Mechanical Engineering (615 citations), Statistics, Probability and Uncertainty (103 citations) and Aging (23 citations). Jennifer Bryan has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Mark van der Laan, Katherine S. Pollard, Greg Wilson, Tracy Teal, Justin Kitzes, Karen Cranston, Alexander J. Nederbragt, Rick White, David Healey and Randall T. Peterson. Their work appears in journals such as CIRP Annals, The FASEB Journal, Molecular Biology of the Cell, The American Statistician and European Journal of Pediatrics.

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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