Anandi Sawant

1.2k total citations
22 papers, 948 citations indexed

About

Anandi Sawant is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Anandi Sawant has authored 22 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 10 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Anandi Sawant's work include Immune cells in cancer (8 papers), Cancer Immunotherapy and Biomarkers (7 papers) and CAR-T cell therapy research (4 papers). Anandi Sawant is often cited by papers focused on Immune cells in cancer (8 papers), Cancer Immunotherapy and Biomarkers (7 papers) and CAR-T cell therapy research (4 papers). Anandi Sawant collaborates with scholars based in United States, Sweden and France. Anandi Sawant's co-authors include Selvarangan Ponnazhagan, Diptiman Chanda, Jonathan A. Hensel, Jessy S. Deshane, Gene P. Siegal, Akhil Maheshwari, Joel Jules, Xu Feng, Alissa A. Chackerian and Jeff Grein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Anandi Sawant

22 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anandi Sawant United States 15 489 476 317 159 99 22 948
Chris K. Neeley United States 12 467 1.0× 341 0.7× 281 0.9× 188 1.2× 132 1.3× 13 849
Jens Volkmer United States 8 355 0.7× 862 1.8× 381 1.2× 100 0.6× 79 0.8× 9 1.4k
Xinming Su United States 15 613 1.3× 615 1.3× 424 1.3× 97 0.6× 153 1.5× 38 1.2k
Jo Vandercappellen Belgium 11 643 1.3× 542 1.1× 288 0.9× 84 0.5× 113 1.1× 15 1.0k
Dagmar Gotthardt Austria 17 499 1.0× 842 1.8× 262 0.8× 76 0.5× 170 1.7× 34 1.2k
Arianna Capucetti Italy 4 333 0.7× 441 0.9× 193 0.6× 84 0.5× 77 0.8× 8 736
Li‐Chin Yao United States 11 497 1.0× 230 0.5× 287 0.9× 119 0.7× 92 0.9× 23 881
Bernd Algermissen Germany 14 240 0.5× 457 1.0× 262 0.8× 72 0.5× 77 0.8× 26 956
Rafael Carretero Spain 15 573 1.2× 762 1.6× 293 0.9× 119 0.7× 122 1.2× 25 1.2k

Countries citing papers authored by Anandi Sawant

Since Specialization
Citations

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

Fields of papers citing papers by Anandi Sawant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anandi Sawant

This figure shows the co-authorship network connecting the top 25 collaborators of Anandi Sawant. A scholar is included among the top collaborators of Anandi Sawant 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 Anandi Sawant. Anandi Sawant 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.
2.
Raghavan, Sukanya, Christina M. Kochel, Anandi Sawant, et al.. (2021). Conditional Deletion of Pdcd1 Identifies the Cell-Intrinsic Action of PD-1 on Functional CD8 T Cell Subsets for Antitumor Efficacy. Frontiers in Immunology. 12. 752348–752348. 3 indexed citations
3.
Bauché, David, Smita Mauze, Christina M. Kochel, et al.. (2020). Antitumor efficacy of combined CTLA4/PD-1 blockade without intestinal inflammation is achieved by elimination of FcγR interactions. Journal for ImmunoTherapy of Cancer. 8(2). e001584–e001584. 21 indexed citations
4.
Wiswell, Derek, Edward P. Bowman, Douglas E. Linn, et al.. (2020). A capillary electrophoresis based approach for the identification of anti-drug antibodies against camelid VHH biologics (Nanobodies®). Journal of Pharmacological and Toxicological Methods. 103. 106872–106872. 8 indexed citations
5.
Hossain, Dewan Md Sakib, Sarah Javaid, Mingmei Cai, et al.. (2018). Dinaciclib induces immunogenic cell death and enhances anti-PD1–mediated tumor suppression. Journal of Clinical Investigation. 128(2). 644–654. 167 indexed citations
6.
Miselis, Nathan R., Douglas E. Linn, Clifford R. Restaino, et al.. (2017). Abstract 577: Antagonism of the co-inhibitory receptor BTLA enhances efficacy of anti-PD-1 treatment in murine syngeneic tumor models. Cancer Research. 77(13_Supplement). 577–577. 5 indexed citations
7.
Feduska, Joseph M., et al.. (2016). Immature myeloid cells are critical for enhancing bone fracture healing through angiogenic cascade. Bone. 93. 113–124. 18 indexed citations
8.
Wang, Yong, Kenneth P. Hough, Anandi Sawant, et al.. (2016). Indoleamine 2,3-dioxygenase regulates anti-tumor immunity in lung cancer by metabolic reprogramming of immune cells in the tumor microenvironment. Oncotarget. 7(46). 75407–75424. 73 indexed citations
9.
Lee, Joo Hyoung, Tatyana Isayeva, Matt Larson, et al.. (2015). Endostatin: A novel inhibitor of androgen receptor function in prostate cancer. Proceedings of the National Academy of Sciences. 112(5). 1392–1397. 23 indexed citations
10.
Chanda, Diptiman, Joo Hyoung Lee, Anandi Sawant, et al.. (2014). Anterior Gradient Protein-2 Is a Regulator of Cellular Adhesion in Prostate Cancer. PLoS ONE. 9(2). e89940–e89940. 16 indexed citations
11.
Sawant, Anandi, et al.. (2014). The dual targeting of immunosuppressive cells and oxidants promotes effector and memory T-cell functions against lung cancer. OncoImmunology. 3(1). e27401–e27401. 4 indexed citations
12.
Sawant, Anandi, Tong Huan Jin, Jaroslaw W. Zmijewski, et al.. (2013). Enhancement of Antitumor Immunity in Lung Cancer by Targeting Myeloid-Derived Suppressor Cell Pathways. Cancer Research. 73(22). 6609–6620. 70 indexed citations
13.
Sawant, Anandi & Selvarangan Ponnazhagan. (2013). Myeloid-derived suppressor cells as a novel target for the control of osteolytic bone disease. OncoImmunology. 2(5). e24064–e24064. 12 indexed citations
14.
Sawant, Anandi & Selvarangan Ponnazhagan. (2013). Role of plasmacytoid dendritic cells in breast cancer bone dissemination. OncoImmunology. 2(2). e22983–e22983. 17 indexed citations
15.
Sawant, Anandi & Selvarangan Ponnazhagan. (2013). Myeloid-Derived Suppressor Cells as Osteoclast Progenitors: A Novel Target for Controlling Osteolytic Bone Metastasis. Cancer Research. 73(15). 4606–4610. 69 indexed citations
16.
Sawant, Anandi, et al.. (2012). Myeloid-Derived Suppressor Cells Function as Novel Osteoclast Progenitors Enhancing Bone Loss in Breast Cancer. Cancer Research. 73(2). 672–682. 139 indexed citations
17.
Sawant, Anandi, Jonathan A. Hensel, Diptiman Chanda, et al.. (2012). Depletion of Plasmacytoid Dendritic Cells Inhibits Tumor Growth and Prevents Bone Metastasis of Breast Cancer Cells. The Journal of Immunology. 189(9). 4258–4265. 154 indexed citations
18.
Sawant, Anandi, et al.. (2012). Noggin Is Novel Inducer of Mesenchymal Stem Cell Adipogenesis. Journal of Biological Chemistry. 287(15). 12241–12249. 26 indexed citations
19.
Hensel, Jonathan A., Diptiman Chanda, Sanjay Kumar, et al.. (2010). LL‐37 as a therapeutic target for late stage prostate cancer. The Prostate. 71(6). 659–670. 43 indexed citations
20.
Chanda, Diptiman, Tatyana Isayeva, Sanjay Kumar, et al.. (2009). Therapeutic Potential of Adult Bone Marrow–Derived Mesenchymal Stem Cells in Prostate Cancer Bone Metastasis. Clinical Cancer Research. 15(23). 7175–7185. 49 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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