Dipika Singh

1.1k total citations
10 papers, 119 citations indexed

About

Dipika Singh is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Dipika Singh has authored 10 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Dipika Singh's work include Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Parasitic Diseases Research and Treatment (1 paper). Dipika Singh is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Parasitic Diseases Research and Treatment (1 paper). Dipika Singh collaborates with scholars based in United States, Netherlands and India. Dipika Singh's co-authors include Rachel Karchin, Kellie N. Smith, Xiaoshan M. Shao, Valsamo Anagnostou, Donald Pious, Elizabeth Mellins, Lauren M. Smith, B Arp, Beatriz M. Carreno and A. Holly Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and American Journal of Clinical Pathology.

In The Last Decade

Dipika Singh

9 papers receiving 115 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipika Singh United States 5 56 43 32 20 20 10 119
Inessa Cohen United States 8 31 0.6× 48 1.1× 7 0.2× 6 0.3× 27 1.4× 14 128
Dorothy I. Mangale United States 5 64 1.1× 14 0.3× 11 0.3× 21 1.1× 20 1.0× 9 137
Christina Y. Lee United States 6 29 0.5× 93 2.2× 4 0.1× 17 0.8× 11 0.6× 12 165
Nandhini Raman United States 5 74 1.3× 64 1.5× 34 1.1× 4 0.2× 3 0.1× 7 153
Marta Schips Germany 5 73 1.3× 26 0.6× 14 0.4× 3 0.1× 21 1.1× 7 183
Mahdi Moradi Marjaneh United Kingdom 7 14 0.3× 68 1.6× 6 0.2× 8 0.4× 20 1.0× 17 150
Guiseppe Pantaleo Switzerland 4 45 0.8× 18 0.4× 13 0.4× 4 0.2× 3 0.1× 6 74
Peter Olds United States 7 82 1.5× 66 1.5× 4 0.1× 19 0.9× 23 1.1× 12 228
William Stecho Canada 7 42 0.8× 79 1.8× 3 0.1× 6 0.3× 17 0.8× 9 176
Thomas Starkey United Kingdom 6 21 0.4× 40 0.9× 12 0.4× 3 0.1× 31 1.6× 10 159

Countries citing papers authored by Dipika Singh

Since Specialization
Citations

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

Fields of papers citing papers by Dipika Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipika Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Dipika Singh. A scholar is included among the top collaborators of Dipika 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 Dipika Singh. Dipika Singh 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.
Huang, Justin, Willemijn S.M.E. Theelen, Zineb Belcaid, et al.. (2025). Combination of pembrolizumab and radiotherapy induces systemic antitumor immune responses in immunologically cold non-small cell lung cancer. Nature Cancer. 6(10). 1676–1692. 5 indexed citations
2.
Zeng, Zhen, Jiajia Zhang, Shuai Li, et al.. (2025). A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types. Nature Communications. 16(1). 1070–1070. 4 indexed citations
3.
Szeto, Wilson Y., et al.. (2024). Histologic Patterns of Ribociclib-induced Liver Injury. American Journal of Clinical Pathology. 162(Supplement_1). S109–S109.
4.
Voong, Khinh Ranh, Peter B. Illei, Dipika Singh, et al.. (2023). Ablative radiation alone in stage I lung cancer produces an adaptive systemic immune response: insights from a prospective study. Journal for ImmunoTherapy of Cancer. 11(10). e007188–e007188. 4 indexed citations
5.
Shao, Xiaoshan M., et al.. (2023). Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity. Nature Machine Intelligence. 5(8). 861–872. 46 indexed citations
6.
Jain, Roopesh & Dipika Singh. (2016). Nutritive and medicinal value of capsicum. Journal of Medical Society. 30(1). 69–69. 3 indexed citations
7.
Singh, Dipika. (2011). Transforming Chronic Care: Evidence about improving care for people with long-term conditions. 29 indexed citations
8.
Singh, Dipika, et al.. (1994). Functional antigenic molecules of different life-stages of rodent filariid, Acanthocheilonema viteae and their cross reactivity with human filarial (Wuchereria bancrofti) sera. Nagasaki University's Academic Output SITE (Nagasaki University). 36(1). 35–42. 2 indexed citations
9.
Mellins, Elizabeth, B Arp, Dipika Singh, et al.. (1990). Point mutations define positions in HLA-DR3 molecules that affect antigen presentation.. Proceedings of the National Academy of Sciences. 87(12). 4785–4789. 20 indexed citations
10.
Singh, Dipika, et al.. (1974). Brugia malayi infection of the human eye: A case report.. PubMed. 5(2). 226–9. 6 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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