Yanna Ding

521 total citations
13 papers, 433 citations indexed

About

Yanna Ding is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Yanna Ding has authored 13 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Yanna Ding's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Yanna Ding is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Yanna Ding collaborates with scholars based in United States and Switzerland. Yanna Ding's co-authors include Hui‐Chen Hsu, John D. Mountz, PingAr Yang, William T. Beck, Fangting Wu, Yin‐Yuan Mo, Bao Luo, Allan Zajac, Jun Li and Qi Wu and has published in prestigious journals such as Blood, The Journal of Immunology and Clinical Cancer Research.

In The Last Decade

Yanna Ding

12 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanna Ding United States 6 209 166 63 60 58 13 433
Emmanuel J. Volanakis United States 9 275 1.3× 183 1.1× 50 0.8× 71 1.2× 21 0.4× 15 499
Leilani Zeumer United States 10 216 1.0× 101 0.6× 58 0.9× 44 0.7× 105 1.8× 12 336
Lisa Russell United States 8 199 1.0× 86 0.5× 15 0.2× 54 0.9× 49 0.8× 8 309
Lisa Farwell United States 11 261 1.2× 170 1.0× 239 3.8× 31 0.5× 115 2.0× 14 549
Jenni E. Crowley United States 8 292 1.4× 44 0.3× 41 0.7× 34 0.6× 54 0.9× 8 365
Gábor Hutás United States 9 164 0.8× 66 0.4× 37 0.6× 39 0.7× 74 1.3× 9 349
Francesca Rucci United States 12 238 1.1× 216 1.3× 94 1.5× 124 2.1× 37 0.6× 14 469
Michelle A. Mintz United States 6 365 1.7× 80 0.5× 36 0.6× 143 2.4× 15 0.3× 7 508
Emmanuelle Gilbert France 10 88 0.4× 298 1.8× 79 1.3× 61 1.0× 16 0.3× 13 448
Emma Jones United Kingdom 8 107 0.5× 105 0.6× 79 1.3× 44 0.7× 26 0.4× 12 404

Countries citing papers authored by Yanna Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yanna Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanna Ding

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

All Works

13 of 13 papers shown
1.
2.
Ding, Yanna, Alina Dulau‐Florea, Emma M. Groarke, et al.. (2023). Use of flow cytometric light scattering to recognize the characteristic vacuolated marrow cells in VEXAS syndrome. Blood Advances. 7(20). 6151–6155. 4 indexed citations
3.
Schandl, Cynthia A., Georges J. Nahhas, Dongjun Chung, et al.. (2023). Novel high–risk acute myeloid leukemia subgroup with ERG amplification and Biallelic loss of TP53. Cancer Genetics. 272-273. 23–28. 2 indexed citations
4.
Dulau‐Florea, Alina, Raul C. Braylan, Yanna Ding, et al.. (2023). Clonal Bone Marrow Plasma Cells Are Common in Patients with Vexas Syndrome. Blood. 142(Supplement 1). 4681–4681. 3 indexed citations
5.
6.
Ding, Yanna, Jack Yang, & Kathryn Lindsey. (2020). Cytologic features of blastic plasmacytoid dendritic cell neoplasm involving liver: A case report and literature review. Diagnostic Cytopathology. 49(2). E80–E83. 1 indexed citations
7.
Ding, Yanna, John D. Mountz, & Hui‐Chen Hsu. (2015). Identification of Follicular T Helper Cells in Tissue Sections. Methods in molecular biology. 1291. 13–25. 1 indexed citations
8.
Ding, Yanna, Jun Li, PingAr Yang, et al.. (2014). Interleukin‐21 Promotes Germinal Center Reaction by Skewing the Follicular Regulatory T Cell to Follicular Helper T Cell Balance in Autoimmune BXD2 Mice. Arthritis & Rheumatology. 66(9). 2601–2612. 91 indexed citations
9.
10.
Ding, Yanna, Jun Li, Qi Wu, et al.. (2013). IL-17RA Is Essential for Optimal Localization of Follicular Th Cells in the Germinal Center Light Zone To Promote Autoantibody-Producing B Cells. The Journal of Immunology. 191(4). 1614–1624. 77 indexed citations
11.
New, James S., Shutao Xie, PingAr Yang, et al.. (2013). Extension of the Germinal Center Stage of B Cell Development Promotes Autoantibodies in BXD2 Mice. Arthritis & Rheumatism. 65(10). 2703–2712. 24 indexed citations
12.
Wu, Fangting, et al.. (2009). MicroRNA-mediated Regulation of Ubc9 Expression in Cancer Cells. Clinical Cancer Research. 15(5). 1550–1557. 101 indexed citations
13.
L, Qin, Kenneth D. Chavin, Yanna Ding, et al.. (1995). Multiple vectors effectively achieve gene transfer in a murine cardiac transplantation model. Immunosuppression with TGF-beta 1 or vIL-10.. PubMed. 59(6). 809–16. 110 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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