Purnima Sundar

1.8k total citations
15 papers, 1.2k citations indexed

About

Purnima Sundar is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Purnima Sundar has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Purnima Sundar's work include Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers) and Immune cells in cancer (3 papers). Purnima Sundar is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers) and Immune cells in cancer (3 papers). Purnima Sundar collaborates with scholars based in United States, Germany and France. Purnima Sundar's co-authors include Dilduz Telman, Jacob Glanville, Gabriella Huerta, Arvind Rajpal, Jaume Pons, Jan Berka, Stephen L. Hauser, Tracy C. Kuo, H.‐Christian von Büdingen and Wenwu Zhai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Purnima Sundar

15 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Purnima Sundar United States	14	668	490	471	247	221	15	1.2k
Rachael Bashford-Rogers United Kingdom	19	540 0.8×	393 0.8×	169 0.4×	113 0.5×	235 1.1×	37	1.1k
Koenraad Gijbels Belgium	10	550 0.8×	298 0.6×	121 0.3×	203 0.8×	237 1.1×	10	1.4k
Klaus‐Dieter Preuss Germany	20	414 0.6×	401 0.8×	173 0.4×	167 0.7×	161 0.7×	50	954
Maria J. Polyak Canada	16	409 0.6×	332 0.7×	377 0.8×	255 1.0×	213 1.0×	18	984
Isaak Quast Australia	18	604 0.9×	432 0.9×	387 0.8×	52 0.2×	66 0.3×	29	1.1k
Dilduz Telman United States	6	429 0.6×	354 0.7×	389 0.8×	237 1.0×	77 0.3×	6	817
Christina Chan United States	13	643 1.0×	267 0.5×	223 0.5×	87 0.4×	152 0.7×	19	1.1k
Jeffrey Krieger United States	13	733 1.1×	150 0.3×	163 0.3×	259 1.0×	135 0.6×	16	989
Svetlana Hakobyan United Kingdom	18	990 1.5×	305 0.6×	182 0.4×	185 0.7×	45 0.2×	26	1.5k
Gabriella Huerta United States	5	410 0.6×	320 0.7×	325 0.7×	139 0.6×	70 0.3×	5	736

Countries citing papers authored by Purnima Sundar

Since Specialization

Citations

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

Fields of papers citing papers by Purnima Sundar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Purnima Sundar

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Budimir, Natalija, Joseph S. Dolina, Jie Wei, et al.. (2021). Combinatorial immunotherapy induces tumor-infiltrating CD8⁺ T cells with distinct functional, migratory, and stem-like properties. Journal for ImmunoTherapy of Cancer. 9(12). e003614–e003614. 16 indexed citations

2.

Thomas, Graham D., Luca Micci, Wenjing Yang, et al.. (2021). Intra-Tumoral Activation of Endosomal TLR Pathways Reveals a Distinct Role for TLR3 Agonist Dependent Type-1 Interferons in Shaping the Tumor Immune Microenvironment. Frontiers in Oncology. 11. 711673–711673. 15 indexed citations

3.

Qu, Yan, Ji Wen, Graham D. Thomas, et al.. (2020). Baseline Frequency of Inflammatory Cxcl9-Expressing Tumor-Associated Macrophages Predicts Response to Avelumab Treatment. Cell Reports. 32(1). 107873–107873. 47 indexed citations

4.

Qu, Yan, Ji Wen, Graham D. Thomas, et al.. (2020). Baseline Frequency of Inflammatory Cxcl9-Expressing Tumor-Associated Macrophages Predicts Response to Avelumab Treatment. Cell Reports. 32(9). 108115–108115. 59 indexed citations

5.

Blarcom, Thomas Van, Andrea Rossi, Davide Foletti, et al.. (2018). Epitope Mapping Using Yeast Display and Next Generation Sequencing. Methods in molecular biology. 1785. 89–118. 8 indexed citations

6.

Yeung, Yik A., Davide Foletti, Xiaodi Deng, et al.. (2016). Germline-encoded neutralization of a Staphylococcus aureus virulence factor by the human antibody repertoire. Nature Communications. 7(1). 13376–13376. 30 indexed citations

7.

Sirota, Marina, Gonneke Willemsen, Purnima Sundar, et al.. (2015). Effect of Genome and Environment on Metabolic and Inflammatory Profiles. PLoS ONE. 10(4). e0120898–e0120898. 13 indexed citations

8.

Blarcom, Thomas Van, Andrea Rossi, Davide Foletti, et al.. (2014). Precise and Efficient Antibody Epitope Determination through Library Design, Yeast Display and Next-Generation Sequencing. Journal of Molecular Biology. 427(6). 1513–1534. 50 indexed citations

9.

Palanichamy, Arumugam, Leonard Apeltsin, Tracy C. Kuo, et al.. (2014). Immunoglobulin class-switched B cells form an active immune axis between CNS and periphery in multiple sclerosis. Science Translational Medicine. 6(248). 248ra106–248ra106. 173 indexed citations

10.

Büdingen, H.‐Christian von, Tracy C. Kuo, Marina Sirota, et al.. (2012). B cell exchange across the blood-brain barrier in multiple sclerosis. Journal of Clinical Investigation. 122(12). 4533–4543. 177 indexed citations

11.

Zhai, Wenwu, Jacob Glanville, Markus Fuhrmann, et al.. (2011). Synthetic Antibodies Designed on Natural Sequence Landscapes. Journal of Molecular Biology. 412(1). 55–71. 70 indexed citations

12.

Glanville, Jacob, Tracy C. Kuo, H.‐Christian von Büdingen, et al.. (2011). Naive antibody gene-segment frequencies are heritable and unaltered by chronic lymphocyte ablation. Proceedings of the National Academy of Sciences. 108(50). 20066–20071. 135 indexed citations

13.

Glanville, Jacob, Wenwu Zhai, Jan Berka, et al.. (2009). Precise determination of the diversity of a combinatorial antibody library gives insight into the human immunoglobulin repertoire. Proceedings of the National Academy of Sciences. 106(48). 20216–20221. 339 indexed citations

14.

Sundar, Purnima, Eleanor Feingold, Ryan L. Minster, Steven T. DeKosky, & M. Ilyas Kamboh. (2006). Gender-specific association of ATP-binding cassette transporter 1 (ABCA1) polymorphisms with the risk of late-onset Alzheimer's disease. Neurobiology of Aging. 28(6). 856–862. 64 indexed citations

15.

Sundar, Purnima, Chang-En Yu, Weiva Sieh, et al.. (2006). Two sites in the MAPT region confer genetic risk for Guam ALS/PDC and dementia. Human Molecular Genetics. 16(3). 295–306. 45 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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