Tonya Watkins

1.9k total citations
37 papers, 1.5k citations indexed

About

Tonya Watkins is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Tonya Watkins has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Oncology. Recurrent topics in Tonya Watkins's work include Sphingolipid Metabolism and Signaling (5 papers), Virus-based gene therapy research (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Tonya Watkins is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Virus-based gene therapy research (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Tonya Watkins collaborates with scholars based in United States, Canada and United Kingdom. Tonya Watkins's co-authors include Viswanathan Natarajan, Donghong He, Chris Cheadle, Bahman Saatian, Peter V. Usatyuk, Yutong Zhao, Narasimham L. Parinandi, Ernst Wm. Spannhake, Hamid Rabb and Joe G. N. Garcia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Tonya Watkins

37 papers receiving 1.5k citations

Peers

Tonya Watkins
Comparison fields: 5 of 96
  • Molecular Biology 814
  • Immunology 319
  • Surgery 203
  • Physiology 184
  • Pulmonary and Respiratory Medicine 172
Replace Hermann Haller with:
Hermann Haller Germany
Ye Zhao China
Agnès Bellocq France
Jacques Behmoaras United Kingdom
Hiroyuki Yamada Japan
J Ryan United States
Jinhua Tang China
Monika Buraczyńska Poland
Ningzheng Dong China
Stavros Topouzis Greece
Hermann Haller Germany View profile →
Citations per field, relative to Tonya Watkins
Tonya Watkins · 1×
Citations per year, relative to Tonya Watkins
Tonya Watkins · 1×

Countries citing papers authored by Tonya Watkins

Since Specialization
Citations

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

Fields of papers citing papers by Tonya Watkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonya Watkins

This figure shows the co-authorship network connecting the top 25 collaborators of Tonya Watkins. A scholar is included among the top collaborators of Tonya Watkins 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 Tonya Watkins. Tonya Watkins 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
# Work Indexed citations
1 44
2 36
3 6
4 55
5 25
6 21
7 47
8 30
9 21
10 1
11 28
12
TLR2 and TLR4 as Potential Biomarkers of Environmental Particulate Matter Exposed Human Myeloid Dendritic Cells.
14
13 37
14 21
15 92
16 6
17 123
18 116
19 26
20 128

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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