Tonya J. Roberts

483 total citations
9 papers, 418 citations indexed

About

Tonya J. Roberts is a scholar working on Immunology, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Tonya J. Roberts has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Biological Psychiatry. Recurrent topics in Tonya J. Roberts's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (2 papers). Tonya J. Roberts is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (2 papers). Tonya J. Roberts collaborates with scholars based in United States and France. Tonya J. Roberts's co-authors include Randy R. Brutkiewicz, Yinling Lin, Venkataraman Sriram, Sungyoo Cho, Ming Xu, Jacqueline A. Hobbs, Jianhua Zhang, Ming Gui, Igor Bačík and Kyoko Hayakawa and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Journal of Virology.

In The Last Decade

Tonya J. Roberts

9 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tonya J. Roberts United States	7	381	84	46	40	25	9	418
Sungyoo Cho United States	8	400 1.0×	89 1.1×	71 1.5×	45 1.1×	24 1.0×	11	446
Bérangère Neveu France	5	283 0.7×	123 1.5×	70 1.5×	44 1.1×	12 0.5×	5	339
Alessia Colone Italy	7	423 1.1×	81 1.0×	60 1.3×	85 2.1×	15 0.6×	8	505
Anastazia M. Older Aguilar United States	8	524 1.4×	43 0.5×	33 0.7×	31 0.8×	49 2.0×	9	555
Stefan Ebert Germany	12	308 0.8×	260 3.1×	49 1.1×	38 0.9×	15 0.6×	14	416
Carolyn E. Rydyznski United States	6	278 0.7×	56 0.7×	33 0.7×	35 0.9×	13 0.5×	9	370
Gregor Bedenikovic Switzerland	5	276 0.7×	64 0.8×	64 1.4×	24 0.6×	9 0.4×	5	319
Evelyn Roth Germany	6	288 0.8×	72 0.9×	79 1.7×	34 0.8×	8 0.3×	7	338
Lauren Mack United States	3	330 0.9×	62 0.7×	62 1.3×	30 0.8×	9 0.4×	4	408
Romain Oger France	11	236 0.6×	45 0.5×	71 1.5×	55 1.4×	8 0.3×	16	303

Countries citing papers authored by Tonya J. Roberts

Since Specialization

Citations

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

Fields of papers citing papers by Tonya J. Roberts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonya J. Roberts

This figure shows the co-authorship network connecting the top 25 collaborators of Tonya J. Roberts. A scholar is included among the top collaborators of Tonya J. Roberts 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 J. Roberts. Tonya J. Roberts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Lin, Yinling, Tonya J. Roberts, Chyung‐Ru Wang, Sungyoo Cho, & Randy R. Brutkiewicz. (2005). Long‐term loss of canonical NKT cells following an acute virus infection. European Journal of Immunology. 35(3). 879–889. 40 indexed citations

2.

Ward, Bryan A., Zeruesenay Desta, Tonya J. Roberts, et al.. (2005). Diindolylmethane inhibits indoleamine 2,3-dioxygenase activity in breast cancer cells. Cancer Research. 65. 577–577. 1 indexed citations

3.

Sumpter, Tina L., Tonya J. Roberts, & David S. Wilkes. (2004). Interface between alloimmunity and autoimmunity. Current Opinion in Organ Transplantation. 9(1). 23–28. 2 indexed citations

4.

Lin, Yinling, et al.. (2004). Reduction in CD1d expression on dendritic cells and macrophages by an acute virus infection. Journal of Leukocyte Biology. 77(2). 151–158. 32 indexed citations

5.

Roberts, Tonya J., et al.. (2004). CD1d1-Dependent Control of the Magnitude of an Acute Antiviral Immune Response. The Journal of Immunology. 172(6). 3454–3461. 48 indexed citations

6.

Brutkiewicz, Randy R., Yinling Lin, Sungyoo Cho, et al.. (2003). CD1d-Mediated Antigen Presentation to Natural Killer T (NKT) Cells. Critical Reviews in Immunology. 23(5-6). 403–419. 40 indexed citations

7.

Lin, Yinling, Tonya J. Roberts, Venkataraman Sriram, Sungyoo Cho, & Randy R. Brutkiewicz. (2003). Myeloid marker expression on antiviral CD8⁺ T cells following an acute virus infection. European Journal of Immunology. 33(10). 2736–2743. 62 indexed citations

8.

Roberts, Tonya J., Venkataraman Sriram, Ming Gui, et al.. (2002). Recycling CD1d1 Molecules Present Endogenous Antigens Processed in an Endocytic Compartment to NKT Cells. The Journal of Immunology. 168(11). 5409–5414. 104 indexed citations

9.

Hobbs, Jacqueline A., Sungyoo Cho, Tonya J. Roberts, et al.. (2001). Selective Loss of Natural Killer T Cells by Apoptosis following Infection with Lymphocytic Choriomeningitis Virus. Journal of Virology. 75(22). 10746–10754. 89 indexed citations

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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