Rohit Kumar Singh

637 total citations
30 papers, 313 citations indexed

About

Rohit Kumar Singh is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Rohit Kumar Singh has authored 30 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Rohit Kumar Singh's work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (3 papers). Rohit Kumar Singh is often cited by papers focused on CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (3 papers). Rohit Kumar Singh collaborates with scholars based in South Korea, United States and India. Rohit Kumar Singh's co-authors include Beom K. Choi, Hyo Jeong Hong, Uma Sharma, Pyeung-Hyeun Kim, Woo Jin Kim, Sang-Jin Lee, Young Ho Kim, Hyeon‐Seok Eom, Byoung S. Kwon and Seon-Hee Kim and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Rohit Kumar Singh

28 papers receiving 301 citations

Peers

Rohit Kumar Singh

ONCOL

IMMUN

PFM

PRM

Felix L. Fennemann Netherlands

Francis G Gabriel United Kingdom

Jae Hun Shin United States

Maria Cosenza Italy

Ravi Chauhan India

Hongyan Huang China

Keith Wells United States

Roshanak Derakhshandeh United States

Jonathan Caron France

Felix L. Fennemann Netherlands

Rohit Kumar Singh

157 ×1.0

ONCOL

118 ×1.1

225 ×2.7

IMMUN

36 ×0.8

PFM

27 ×1.0

PRM

Citations per year, relative to Rohit Kumar Singh Rohit Kumar Singh (= 1×) peers Felix L. Fennemann

Countries citing papers authored by Rohit Kumar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Rohit Kumar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Kumar Singh

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

All Works

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20 of 20 papers shown

Singh, Rohit Kumar, et al.. (2025). Automating Dermatology through CNN-based Comparison Models for Improved Efficiency. 1–7.

Singh, Rohit Kumar, Young Ho Kim, Sang-Jin Lee, Hyeon‐Seok Eom, & Beom K. Choi. (2024). 4-1BB immunotherapy: advances and hurdles. Experimental & Molecular Medicine. 56(1). 32–39. 33 indexed citations

Long, Georgina V., Catriona M. McNeil, Antoni Ribas, et al.. (2024). Pembrolizumab versus ipilimumab for advanced melanoma: 10-year follow-up of the phase III KEYNOTE-006 study. Annals of Oncology. 35(12). 1191–1199. 33 indexed citations

Cho, Eun‐Jung, Hyeon Seok Eom, Sang-Jin Lee, et al.. (2023). Cross-Activation of Regulatory T Cells by Self Antigens Limits Self-Reactive and Activated CD8+ T Cell Responses. International Journal of Molecular Sciences. 24(18). 13672–13672. 2 indexed citations

Singh, Rohit Kumar & Beom K. Choi. (2021). A Transient Transfection-based Cell Adhesion Assay with 293T Cells. BIO-PROTOCOL. 11(1). e3878–e3878. 1 indexed citations

Gupta, Vinod Kumar, S. K. Srivastava, Sourav Ghosh, et al.. (2021). Effect of endogenous hormones, antisperm antibody and oxidative stress on semen quality of crossbred bulls. Animal Biotechnology. 33(7). 1441–1448. 2 indexed citations

Cho, Eun‐Jung, Rohit Kumar Singh, Seon-Hee Kim, et al.. (2021). IL7-Fc Enhances the Efficacy of Adoptive T Cell Therapy under Lymphopenic Conditions in a Murine Melanoma Model. Cells. 10(8). 2018–2018. 4 indexed citations

Kim, Seon-Hee, Rohit Kumar Singh, Chungyong Han, et al.. (2020). Chronic activation of 4-1BB signaling induces granuloma development in tumor-draining lymph nodes that is detrimental to subsequent CD8+ T cell responses. Cellular and Molecular Immunology. 18(8). 1956–1968. 11 indexed citations

Natarajan, Srikant, et al.. (2020). Detection of salivary alkaline phosphatase levels in smokers, diabetic patients, potentially malignant diseases and oral malignant tumours. Journal of Pharmacy And Bioallied Sciences. 12(5). 430–430. 6 indexed citations

10.

Singh, Rohit Kumar, et al.. (2020). Non-Hodgkin's lymphoma: A review. SHILAP Revista de lepidopterología. 9(4). 1834–1834. 72 indexed citations

11.

Singh, Rohit Kumar & Beom K. Choi. (2019). Siglec1-expressing subcapsular sinus macrophages provide soil for melanoma lymph node metastasis. eLife. 8. 27 indexed citations

12.

Choi, Beom K., et al.. (2018). The hyaluronic acid-rich node and duct system is a structure organized for innate immunity and mediates the local inflammation. Cytokine. 113. 74–82. 5 indexed citations

13.

Han, Chungyong, Seon-Hee Kim, Rohit Kumar Singh, et al.. (2018). Desensitized chimeric antigen receptor T cells selectively recognize target cells with enhanced antigen expression. Nature Communications. 9(1). 468–468. 28 indexed citations

14.

Han, Chungyong, Rohit Kumar Singh, Seon-Hee Kim, Beom K. Choi, & Byoung S. Kwon. (2017). Suppression of EBV-induced LCLs using CAR T cells redirected against HLA-DR.. Journal of Clinical Oncology. 35(7_suppl). 146–146. 2 indexed citations

15.

Patel, Tushar, Rohit Kumar Singh, Vijaya Reddy, Aimee Hodowanec, & Kamaljit Singh. (2015). Answer to February 2015 Photo Quiz. Journal of Clinical Microbiology. 53(2). 758–758. 1 indexed citations

16.

Alqumber, Mohammed A. A., Sajad Ahmad Dar, Shafiul Haque, et al.. (2014). No Association of the TGF-β1 29T/C Polymorphism with Breast Cancer Risk in Caucasian and Asian Populations: Evidence from a Meta-Analysis Involving 55, 841 Subjects. Asian Pacific Journal of Cancer Prevention. 15(20). 8725–8734. 5 indexed citations

17.

Singh, Rohit Kumar, Woo Jin Kim, Pyeung-Hyeun Kim, & Hyo Jeong Hong. (2013). Combined blockade of HER2 and VEGF exerts greater growth inhibition of HER2-overexpressing gastric cancer xenografts than individual blockade. Experimental & Molecular Medicine. 45(11). e52–e52. 32 indexed citations

18.

Singh, Rohit Kumar, et al.. (2011). Role of Src in breast cancer cell migration and invasion in a breast cell/bone-derived cell microenvironment. Breast Cancer Research and Treatment. 133(1). 201–214. 14 indexed citations

19.

Romeuf, Christophe de, Grégory Dupont, Charles‐Antoine Dutertre, et al.. (2008). Poster Session. Human Antibodies. 16(1-2). 45–60. 1 indexed citations

20.

Singh, Rohit Kumar, et al.. (1963). Radiographic studies of the new born with special reference to subcutaneous fat and osseous development.. PubMed. 51. 522–32. 1 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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