Neeraja Kulkarni

463 total citations
11 papers, 379 citations indexed

About

Neeraja Kulkarni is a scholar working on Immunology, Oncology and Infectious Diseases. According to data from OpenAlex, Neeraja Kulkarni has authored 11 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Neeraja Kulkarni's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (4 papers). Neeraja Kulkarni is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (4 papers). Neeraja Kulkarni collaborates with scholars based in India, Germany and United States. Neeraja Kulkarni's co-authors include Girdhari Lal, Sandip Ashok Sonar, Manisha Pathak, Sourav Paul, Jonathan S. Bromberg, Yumi Nakayama, C. Colin Brinkman, Amit Kumar Singh, Bryna E. Burrell and Tianshu Zhang and has published in prestigious journals such as European Journal of Immunology, PLoS Pathogens and Journal of Leukocyte Biology.

In The Last Decade

Neeraja Kulkarni

10 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neeraja Kulkarni India 8 260 72 60 54 30 11 379
Charline Vauchy France 10 177 0.7× 101 1.4× 83 1.4× 61 1.1× 20 0.7× 18 331
Amit Kumar Singh India 10 167 0.6× 31 0.4× 60 1.0× 51 0.9× 30 1.0× 15 338
K Lorré Belgium 13 359 1.4× 94 1.3× 84 1.4× 58 1.1× 32 1.1× 22 539
Fumihiro Azuma Japan 10 330 1.3× 38 0.5× 89 1.5× 48 0.9× 63 2.1× 22 568
Renee J. Robb Australia 11 513 2.0× 123 1.7× 121 2.0× 42 0.8× 42 1.4× 12 686
Mercedes Segovia France 12 279 1.1× 78 1.1× 196 3.3× 25 0.5× 24 0.8× 17 492
Aroa Baragaño Raneros Spain 12 382 1.5× 179 2.5× 195 3.3× 45 0.8× 17 0.6× 13 554
Leyla Develioglu France 8 442 1.7× 70 1.0× 110 1.8× 66 1.2× 10 0.3× 10 581
Kira Dionis United States 4 268 1.0× 75 1.0× 24 0.4× 86 1.6× 18 0.6× 7 367
Esteban Arrieta‐Bolaños Germany 12 217 0.8× 46 0.6× 63 1.1× 50 0.9× 62 2.1× 47 355

Countries citing papers authored by Neeraja Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Neeraja Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraja Kulkarni

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

All Works

11 of 11 papers shown
1.
Meitei, Heikrujam Thoihen, Neeraja Kulkarni, Srikanth Rapole, et al.. (2025). CCL20-CCR6 signaling alters the metabolic reprogramming to promote the pathogenic Th17 cell differentiation. iScience. 29(1). 114385–114385.
2.
Wolz, Olaf‐Oliver, Dominik Vahrenhorst, Gianluca Quintini, et al.. (2024). Innate Responses to the Former COVID-19 Vaccine Candidate CVnCoV and Their Relation to Reactogenicity and Adaptive Immunogenicity. Vaccines. 12(4). 388–388. 1 indexed citations
3.
Pathak, Manisha, et al.. (2019). CCR9 signaling in dendritic cells drives the differentiation of Foxp3+ Tregs and suppresses the allergic IgE response in the gut. European Journal of Immunology. 50(3). 404–417. 16 indexed citations
4.
Kulkarni, Neeraja, Sandip Ashok Sonar, & Girdhari Lal. (2018). Plasticity of Th17 and Tregs and its clinical importance as therapeutic target in inflammatory bowel disease. 1(1). 4 indexed citations
5.
Kulkarni, Neeraja, Heikrujam Thoihen Meitei, Sandip Ashok Sonar, et al.. (2017). CCR6 signaling inhibits suppressor function of induced-Treg during gut inflammation. Journal of Autoimmunity. 88. 121–130. 52 indexed citations
7.
Lal, Girdhari, Neeraja Kulkarni, Yumi Nakayama, et al.. (2016). IL-10 from marginal zone precursor B cells controls the differentiation of Th17, Tfh and Tfr cells in transplantation tolerance. Immunology Letters. 170. 52–63. 48 indexed citations
8.
Paul, Sourav, et al.. (2016). Intratumoral natural killer cells show reduced effector and cytolytic properties and control the differentiation of effector Th1 cells. OncoImmunology. 5(12). e1235106–e1235106. 60 indexed citations
9.
Kulkarni, Neeraja, Manisha Pathak, & Girdhari Lal. (2016). Role of chemokine receptors and intestinal epithelial cells in the mucosal inflammation and tolerance. Journal of Leukocyte Biology. 101(2). 377–394. 58 indexed citations
10.
Lal, Girdhari, Yumi Nakayama, Amit Kumar Singh, et al.. (2015). Interleukin-10 From Marginal Zone Precursor B-Cell Subset Is Required for Costimulatory Blockade-Induced Transplantation Tolerance. Transplantation. 99(9). 1817–1828. 41 indexed citations
11.
Kulkarni, Neeraja, et al.. (2013). Role of miRNAs in CD4 T cell plasticity during inflammation and tolerance. Frontiers in Genetics. 4. 58 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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