Nina Bhardwaj

44.6k total citations · 14 hit papers
332 papers, 27.6k citations indexed

About

Nina Bhardwaj is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Nina Bhardwaj has authored 332 papers receiving a total of 27.6k indexed citations (citations by other indexed papers that have themselves been cited), including 262 papers in Immunology, 111 papers in Oncology and 99 papers in Molecular Biology. Recurrent topics in Nina Bhardwaj's work include Immunotherapy and Immune Responses (201 papers), Immune Cell Function and Interaction (107 papers) and T-cell and B-cell Immunology (83 papers). Nina Bhardwaj is often cited by papers focused on Immunotherapy and Immune Responses (201 papers), Immune Cell Function and Interaction (107 papers) and T-cell and B-cell Immunology (83 papers). Nina Bhardwaj collaborates with scholars based in United States, France and India. Nina Bhardwaj's co-authors include Matthew L. Albert, Birthe Sauter, Ralph M. Steinman, Marie Larsson, Mansi Saxena, Loise M. Francisco, Madhav V. Dhodapkar, Sreekumar Balan, Rachel Lubong Sabado and Selin Somersan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Nina Bhardwaj

325 papers receiving 27.0k citations

Hit Papers

Dendritic cells acquire a... 1993 2026 2004 2015 1998 2000 2001 2021 1998 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Bhardwaj United States 83 20.6k 8.2k 7.7k 2.6k 2.5k 332 27.6k
Reinhold Förster Germany 77 24.7k 1.2× 5.5k 0.7× 8.0k 1.1× 1.4k 0.5× 2.7k 1.1× 239 33.3k
Edgar G. Engleman United States 78 15.5k 0.8× 6.0k 0.7× 5.8k 0.8× 2.0k 0.8× 3.7k 1.5× 277 24.9k
Thomas J. Schall United States 75 15.7k 0.8× 4.3k 0.5× 10.3k 1.4× 3.5k 1.4× 2.9k 1.2× 185 25.8k
Martin Lipp Germany 71 20.5k 1.0× 5.1k 0.6× 7.6k 1.0× 1.5k 0.6× 2.2k 0.9× 190 27.2k
Ellis L. Reinherz United States 96 24.2k 1.2× 9.2k 1.1× 5.5k 0.7× 2.5k 1.0× 2.6k 1.0× 392 36.0k
Hans‐Georg Rammensee Germany 81 19.6k 1.0× 11.3k 1.4× 6.0k 0.8× 1.1k 0.4× 3.7k 1.5× 361 28.0k
Gerold Schuler Germany 84 25.1k 1.2× 7.8k 0.9× 7.7k 1.0× 1.1k 0.4× 2.4k 1.0× 355 33.0k
Bernhard Moser Switzerland 69 16.6k 0.8× 3.8k 0.5× 10.7k 1.4× 2.1k 0.8× 2.0k 0.8× 128 24.0k
Susan M. Kaech United States 65 19.6k 1.0× 4.6k 0.6× 6.0k 0.8× 1.1k 0.4× 3.1k 1.2× 123 24.8k
Jeffrey V. Ravetch United States 115 29.6k 1.4× 15.6k 1.9× 7.4k 1.0× 1.9k 0.7× 3.9k 1.5× 268 47.2k

Countries citing papers authored by Nina Bhardwaj

Since Specialization
Citations

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

Fields of papers citing papers by Nina Bhardwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Bhardwaj

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Bhardwaj. A scholar is included among the top collaborators of Nina Bhardwaj 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 Nina Bhardwaj. Nina Bhardwaj 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.
Withers, Henry, Junko Matsuzaki, Mark D. Long, et al.. (2025). mTOR inhibition modulates vaccine-induced immune responses to generate memory T cells in patients with solid tumors. Journal for ImmunoTherapy of Cancer. 13(3). e010408–e010408. 2 indexed citations
2.
Mestrallet, Guillaume, Matthew Brown, Cansu Cimen Bozkus, & Nina Bhardwaj. (2023). Immune escape and resistance to immunotherapy in mismatch repair deficient tumors. Frontiers in Immunology. 14. 1210164–1210164. 43 indexed citations
3.
McClain, Christopher B., et al.. (2021). MMP2 and TLRs modulate immune responses in the tumor microenvironment. JCI Insight. 6(12). 45 indexed citations
4.
Finak, Greg, Leonard D’Amico, Nina Bhardwaj, et al.. (2021). New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy. Patterns. 2(12). 100372–100372. 21 indexed citations
5.
Tan, I‐Li, Raquel Duque do Nascimento Arifa, Harikrishna Rallapalli, et al.. (2020). CSF1R inhibition depletes tumor-associated macrophages and attenuates tumor progression in a mouse sonic Hedgehog-Medulloblastoma model. Oncogene. 40(2). 396–407. 49 indexed citations
6.
Perumal, Deepak, Naoko Imai, Alessandro Laganà, et al.. (2019). Mutation-derived Neoantigen-specific T-cell Responses in Multiple Myeloma. Clinical Cancer Research. 26(2). 450–464. 59 indexed citations
7.
Pavlick, Anna C., Ana-Belén Blázquez, Marcia Meseck, et al.. (2019). Combined Vaccination with NY-ESO-1 Protein, Poly-ICLC, and Montanide Improves Humoral and Cellular Immune Responses in Patients with High-Risk Melanoma. Cancer Immunology Research. 8(1). 70–80. 56 indexed citations
8.
Kyi, Chrisann, Vladimir Roudko, Rachel Lubong Sabado, et al.. (2018). Therapeutic Immune Modulation against Solid Cancers with Intratumoral Poly-ICLC: A Pilot Trial. Clinical Cancer Research. 24(20). 4937–4948. 97 indexed citations
9.
Balan, Sreekumar, Catharina Arnold‐Schrauf, Francesco Imperatore, et al.. (2018). Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity. Cell Reports. 24(7). 1902–1915.e6. 107 indexed citations
10.
Bozkus, Cansu Cimen, John P. Finnigan, John Mascarenhas, et al.. (2017). Immune Checkpoint Blockade Enhances Mutated Calreticulin-Induced T Cell Immunity in Myeloproliferative Neoplasms. Blood. 130. 384–384. 3 indexed citations
11.
Москаленко, Марина, Michael Pan, Yichun Fu, et al.. (2015). Requirement for Innate Immunity and CD90+ NK1.1− Lymphocytes to Treat Established Melanoma with Chemo-Immunotherapy. Cancer Immunology Research. 3(3). 296–304. 19 indexed citations
12.
Silva, Inês Pires da, Anne Gallois, Sonia Jiménez-Baranda, et al.. (2014). Reversal of NK-Cell Exhaustion in Advanced Melanoma by Tim-3 Blockade. Cancer Immunology Research. 2(5). 410–422. 315 indexed citations
13.
Adams, Sylvia, Lina Kozhaya, Frank Martiniuk, et al.. (2012). Topical TLR7 Agonist Imiquimod Can Induce Immune-Mediated Rejection of Skin Metastases in Patients with Breast Cancer. Clinical Cancer Research. 18(24). 6748–6757. 184 indexed citations
14.
Jungbluth, Achim A., Maurizio DiLiberto, Xiangao Huang, et al.. (2011). MAGE-A Inhibits Apoptosis in Proliferating Myeloma Cells through Repression of Bax and Maintenance of Survivin. Clinical Cancer Research. 17(13). 4309–4319. 79 indexed citations
15.
Bogunovic, Dusan, Olivier Manches, Emmanuelle Godefroy, et al.. (2011). TLR4 Engagement during TLR3-Induced Proinflammatory Signaling in Dendritic Cells Promotes IL-10–Mediated Suppression of Antitumor Immunity. Cancer Research. 71(16). 5467–5476. 42 indexed citations
16.
O’Reilly, Kathryn, Melanie Warycha, Michael A. Davies, et al.. (2009). Phosphorylated 4E-BP1 Is Associated with Poor Survival in Melanoma. Clinical Cancer Research. 15(8). 2872–2878. 54 indexed citations
17.
Segura, Miguel F., Douglas Hanniford, Sílvia Menéndez, et al.. (2009). Aberrant miR-182 expression promotes melanoma metastasis by repressing FOXO3 and microphthalmia-associated transcription factor. Proceedings of the National Academy of Sciences. 106(6). 1814–1819. 451 indexed citations
18.
Minkis, Kira, Daniel G. Kavanagh, Galit Alter, et al.. (2008). Type 2 Bias of T Cells Expanded from the Blood of Melanoma Patients Switched to Type 1 by IL-12p70 mRNA–Transfected Dendritic Cells. Cancer Research. 68(22). 9441–9450. 46 indexed citations
19.
Bioley, Gilles, Philippe Guillaume, Immanuel F. Luescher, et al.. (2008). HLA Class I–Associated Immunodominance Affects CTL Responsiveness to an ESO Recombinant Protein Tumor Antigen Vaccine. Clinical Cancer Research. 15(1). 299–306. 15 indexed citations
20.
Bhardwaj, Nina & Marcus A. Horwitz. (1988). Interferon-γ and Antibiotics Fail to Act Synergistically to Kill Legionella pneumophila in Human Monocytes. Journal of Interferon Research. 8(3). 283–293. 4 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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