Sonya VanPatten

24 papers receiving 1.3k citations

Peers

Sonya VanPatten
Comparison fields: 5 of 104
  • Clinical Biochemistry 382
  • Endocrinology, Diabetes and Metabolism 228
  • Immunology 242
  • Endocrine and Autonomic Systems 61
  • Biochemistry 50
Replace Masaki Kakimoto with:
Masaki Kakimoto Japan
Narkunaraja Shanmugam United States
Masumi Hara Japan
Fernando Delgado‐López Chile
Gursev S. Dhaunsi Kuwait
Jian Feng China
Bilian Yu China
Michelle T. Barati United States
Antoni Paul United States
Marta Varela‐Rey Spain
Sonya VanPatten relative to Masaki Kakimoto Japan Masaki Kakimoto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sonya VanPatten

Since Specialization
Citations

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

Fields of papers citing papers by Sonya VanPatten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sonya VanPatten, 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 Sonya VanPatten Line = papers co-authored together Sonya VanPatten links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997466
2 2001257
3 201086
4 201780
5 200176
6 201968
7 202049
8 201144
9 200439
10 200131
11 201824
12 201319
13 199914
14 201614
15 201614
16 201411
17 20229
18 20018
19 20227
20 20177

About Sonya VanPatten

Sonya VanPatten is a scholar working on Immunology, Molecular Biology, Clinical Biochemistry, Organic Chemistry and Surgery, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (6 papers), Advanced Glycation End Products research (4 papers), Cholesterol and Lipid Metabolism (3 papers), Nuclear Receptors and Signaling (3 papers), Click Chemistry and Applications (2 papers), Inflammatory mediators and NSAID effects (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Clinical Biochemistry (382 citations), Endocrinology, Diabetes and Metabolism (228 citations), Immunology (242 citations), Endocrine and Autonomic Systems (61 citations) and Biochemistry (50 citations). Sonya VanPatten has collaborated with scholars based in United States, United Kingdom and Jordan. Frequent co-authors include Yousef Al‐Abed, David E. Cohen, Hank Founds, Tomoko Mitsuhashi, Richard Bucala, Iain D. Nicholl, Helen Vlassara, Anthony Cerami, Helena E. Miettinen and Verónica Quiñones. Their work appears in journals such as Future Medicinal Chemistry, Molecular Medicine, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences and Journal of Lipid Research.

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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