Gaurav Kumar

644 total citations
10 papers, 314 citations indexed

About

Gaurav Kumar is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gaurav Kumar has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gaurav Kumar's work include Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Gaurav Kumar is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Gaurav Kumar collaborates with scholars based in United States, Italy and Chile. Gaurav Kumar's co-authors include Paolo Fortina, Robert L. Berger, Armin Ernst, Sebastián Fernández-Bussy, Sidhu P. Gangadharan, Erik Folch, Adnan Majid, Gino Cingolani, Patrizia Porazzi and Alexander Mazo and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Gaurav Kumar

10 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav Kumar United States 9 153 104 62 59 41 10 314
Levent Dertsiz Türkiye 9 154 1.0× 78 0.8× 68 1.1× 149 2.5× 118 2.9× 22 401
Xiaoliang Zhao China 13 146 1.0× 110 1.1× 247 4.0× 25 0.4× 44 1.1× 32 400
Robert Welschinger Australia 8 90 0.6× 15 0.1× 63 1.0× 79 1.3× 12 0.3× 16 288
Mitsuteru Hiwatari Japan 8 137 0.9× 61 0.6× 49 0.8× 30 0.5× 27 0.7× 23 251
Élise Kaspi France 12 228 1.5× 67 0.6× 63 1.0× 54 0.9× 24 0.6× 30 367
Adeline Blandinières France 11 113 0.7× 73 0.7× 25 0.4× 25 0.4× 49 1.2× 20 261
Shikiko Ueno Japan 11 266 1.7× 157 1.5× 56 0.9× 38 0.6× 29 0.7× 30 420
Takeru Kashiwada Japan 13 166 1.1× 200 1.9× 126 2.0× 35 0.6× 41 1.0× 36 429
Tristan Lerbs United States 7 97 0.6× 67 0.6× 51 0.8× 62 1.1× 16 0.4× 8 233
Caijuan Huan China 8 134 0.9× 169 1.6× 43 0.7× 21 0.4× 38 0.9× 11 319

Countries citing papers authored by Gaurav Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Kumar

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

All Works

10 of 10 papers shown
1.
McGettigan, Shannon E., et al.. (2024). Secreted IgM modulates IL-10 expression in B cells. Nature Communications. 15(1). 324–324. 6 indexed citations
2.
Chen, Qian, Sofia Castelli, Christopher McNair, et al.. (2022). Subsets of cancer cells expressing CX3CR1 are endowed with metastasis-initiating properties and resistance to chemotherapy. Oncogene. 41(9). 1337–1351. 13 indexed citations
3.
Rosenbaum, Sheera R., Manoela Tiago, Signe Caksa, et al.. (2021). SOX10 requirement for melanoma tumor growth is due, in part, to immune-mediated effects. Cell Reports. 37(10). 110085–110085. 20 indexed citations
4.
Krishn, Shiv Ram, George G. Daaboul, Raffaella Pippa, et al.. (2020). Small extracellular vesicles modulated by αVβ3 integrin induce neuroendocrine differentiation in recipient cancer cells. Journal of Extracellular Vesicles. 9(1). 1761072–1761072. 32 indexed citations
5.
Kumar, Gaurav, et al.. (2020). iSeqQC: a tool for expression-based quality control in RNA sequencing. BMC Bioinformatics. 21(1). 56–56. 12 indexed citations
6.
Dominici, Marco De, Patrizia Porazzi, You‐Cai Xiao, et al.. (2020). Selective inhibition of Ph-positive ALL cell growth through kinase-dependent and -independent effects by CDK6-specific PROTACs. Blood. 135(18). 1560–1573. 67 indexed citations
7.
Chen, Jing, Jennifer L. Martindale, Kotb Abdelmohsen, et al.. (2020). RNA-Binding Protein HuR Promotes Th17 Cell Differentiation and Can Be Targeted to Reduce Autoimmune Neuroinflammation. The Journal of Immunology. 204(8). 2076–2087. 28 indexed citations
8.
Stremska, Marta E., Chao Dai, Rajkumar Venkatadri, et al.. (2019). IL233, an IL-2-IL-33 hybrid cytokine induces prolonged remission of mouse lupus nephritis by targeting Treg cells as a single therapeutic agent. Journal of Autoimmunity. 102. 133–141. 26 indexed citations
9.
Youssefian, Leila, Hassan Vahidnezhad, Amir Hossein Saeidian, et al.. (2018). Autosomal recessive congenital ichthyosis: Genomic landscape and phenotypic spectrum in a cohort of 125 consanguineous families. Human Mutation. 40(3). 288–298. 39 indexed citations
10.
Majid, Adnan, Gaurav Kumar, Robert L. Berger, et al.. (2014). Evaluation of Tracheobronchomalacia by Dynamic Flexible Bronchoscopy. A Pilot Study. Annals of the American Thoracic Society. 11(6). 951–955. 71 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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