Kavitha Yaddanapudi

2.5k total citations
73 papers, 1.8k citations indexed

About

Kavitha Yaddanapudi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kavitha Yaddanapudi has authored 73 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 22 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Kavitha Yaddanapudi's work include Immune cells in cancer (12 papers), Immunotherapy and Immune Responses (8 papers) and Extracellular vesicles in disease (7 papers). Kavitha Yaddanapudi is often cited by papers focused on Immune cells in cancer (12 papers), Immunotherapy and Immune Responses (8 papers) and Extracellular vesicles in disease (7 papers). Kavitha Yaddanapudi collaborates with scholars based in United States, India and China. Kavitha Yaddanapudi's co-authors include Robert A. Mitchell, W. Ian Lipkin, Mady Hornig, John W. Eaton, Joari De Miranda, Beatriz E. Rendon, Jason Chesney, Chi Li, Keith Davis and Howard Donninger and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Kavitha Yaddanapudi

67 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kavitha Yaddanapudi United States 24 627 524 289 207 151 73 1.8k
Carmen Infante‐Duarte Germany 32 1.2k 2.0× 775 1.5× 369 1.3× 272 1.3× 202 1.3× 77 3.2k
Silvia Moretti Italy 28 616 1.0× 555 1.1× 439 1.5× 82 0.4× 124 0.8× 109 2.7k
Silke Appel Norway 27 1.2k 1.9× 659 1.3× 444 1.5× 75 0.4× 94 0.6× 74 2.6k
Yael Rosenberg‐Hasson United States 21 478 0.8× 741 1.4× 332 1.1× 96 0.5× 64 0.4× 51 2.1k
N. Matsuoka Japan 29 1.1k 1.7× 566 1.1× 275 1.0× 135 0.7× 237 1.6× 63 2.6k
Gabriele Di Sante Italy 27 350 0.6× 680 1.3× 249 0.9× 135 0.7× 47 0.3× 80 1.8k
Hongyan Huang China 29 571 0.9× 662 1.3× 385 1.3× 47 0.2× 35 0.2× 95 2.1k
Vincent Van Pesch Belgium 25 442 0.7× 448 0.9× 264 0.9× 124 0.6× 112 0.7× 94 1.9k
Anna Dvorkin‐Gheva Canada 23 619 1.0× 541 1.0× 335 1.2× 23 0.1× 166 1.1× 76 1.8k
Étienne Caron Canada 20 646 1.0× 884 1.7× 325 1.1× 195 0.9× 32 0.2× 46 1.6k

Countries citing papers authored by Kavitha Yaddanapudi

Since Specialization
Citations

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

Fields of papers citing papers by Kavitha Yaddanapudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavitha Yaddanapudi

This figure shows the co-authorship network connecting the top 25 collaborators of Kavitha Yaddanapudi. A scholar is included among the top collaborators of Kavitha Yaddanapudi 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 Kavitha Yaddanapudi. Kavitha Yaddanapudi 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
1.
Li, Junling, Chi Li, Huaiyu Zheng, Kavitha Yaddanapudi, & Chin K. Ng. (2025). Biodistribution studies of 89Zr-Labeled stem cell-derived exosomes using PET imaging. Applied Radiation and Isotopes. 225. 112000–112000.
2.
Engelbrecht, Eric, Sabine Waigel, Eric C. Rouchka, et al.. (2025). Single-cell transcriptomics of melanoma sentinel lymph nodes identifies immune cell signatures associated with metastasis. JCI Insight. 10(7). 1 indexed citations
3.
Sun, Rui, Chao Lei, Zhishan Xu, et al.. (2024). Neutral ceramidase regulates breast cancer progression by metabolic programming of TREM2-associated macrophages. Nature Communications. 15(1). 966–966. 16 indexed citations
4.
Jokerst, Clinton, Kavitha Yaddanapudi, Sachin Chaudhary, Ana Zamora, & Vivek Nagaraja. (2024). Imaging Innovations in the Screening, Diagnosis, and Monitoring of Systemic Autoimmune Disease-Related Interstitial Lung Disease. SHILAP Revista de lepidopterología. 71–81. 2 indexed citations
5.
Meng, Shuhan, et al.. (2024). The efficacy of an embryonic stem cell-based vaccine for lung cancer prevention depends on the undifferentiated state of the stem cells. Scientific Reports. 14(1). 32127–32127. 2 indexed citations
6.
Yaddanapudi, Kavitha, et al.. (2024). Biophysical Control of the Glioblastoma Immunosuppressive Microenvironment: Opportunities for Immunotherapy. Bioengineering. 11(1). 93–93. 3 indexed citations
7.
Menze, Michael A., et al.. (2024). Biomodulatory Effects of Molecular Delivery in Human T Cells Using 3D-Printed Acoustofluidic Devices. Ultrasound in Medicine & Biology. 50(11). 1646–1660.
8.
Mistry, Akshitkumar M., Norman L. Lehman, Donald M. Miller, et al.. (2024). Spatially Resolved Microglia/Macrophages in Recurrent Glioblastomas Overexpress Fatty Acid Metabolism and Phagocytic Genes. Current Oncology. 31(3). 1183–1194. 4 indexed citations
9.
Donninger, Howard, Xiang Zhang, Chi Li, et al.. (2023). Monocytic MDSCs exhibit superior immune suppression via adenosine and depletion of adenosine improves efficacy of immunotherapy. Science Advances. 9(26). eadg3736–eadg3736. 42 indexed citations
10.
Eaton, John W., et al.. (2023). Exosome-based cancer vaccine for prevention of lung cancer. PubMed. 10. 2–2. 31 indexed citations
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Xie, Benjamin, Michael A. Menze, R. Eric Berson, et al.. (2021). Acoustofluidic-mediated molecular delivery to human T cells with a three-dimensional-printed flow chamber. The Journal of the Acoustical Society of America. 150(6). 4534–4547. 6 indexed citations
14.
Li, Chi, Howard Donninger, John W. Eaton, & Kavitha Yaddanapudi. (2020). Regulatory Role of Immune Cell-Derived Extracellular Vesicles in Cancer: The Message Is in the Envelope. Frontiers in Immunology. 11. 1525–1525. 24 indexed citations
15.
Shih, George, Carol C. Wu, Safwan S. Halabi, et al.. (2019). Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia. Radiology Artificial Intelligence. 1(1). e180041–e180041. 181 indexed citations
16.
Yaddanapudi, Kavitha, Kelly M. McMasters, Haval Shirwan, et al.. (2017). Temozolomide renders murine cancer cells susceptible to oncolytic adenovirus replication and oncolysis. Cancer Biology & Therapy. 19(3). 188–197. 4 indexed citations
17.
O’Connor, Owen A., et al.. (2016). The First Case of Primary Cardiac Lymphoma, Diffuse Large B-Cell Type, Successfully Treated with EPOCH-R. Blood. 128(22). 5418–5418. 3 indexed citations
18.
Yaddanapudi, Kavitha, Beatriz E. Rendon, Gwyneth Lamont, et al.. (2015). MIF Is Necessary for Late-Stage Melanoma Patient MDSC Immune Suppression and Differentiation. Cancer Immunology Research. 4(2). 101–112. 71 indexed citations
19.
Yaddanapudi, Kavitha, Kalyani Putty, Beatriz E. Rendon, et al.. (2013). Control of Tumor-Associated Macrophage Alternative Activation by Macrophage Migration Inhibitory Factor. The Journal of Immunology. 190(6). 2984–2993. 123 indexed citations
20.

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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