Rajeev Pandey

567 total citations
24 papers, 326 citations indexed

About

Rajeev Pandey is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Rajeev Pandey has authored 24 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Rajeev Pandey's work include Logic, programming, and type systems (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Epigenetics and DNA Methylation (3 papers). Rajeev Pandey is often cited by papers focused on Logic, programming, and type systems (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Epigenetics and DNA Methylation (3 papers). Rajeev Pandey collaborates with scholars based in United States, India and Czechia. Rajeev Pandey's co-authors include Margaret Burnett, Arun Khattri, Abhιshek Sinha, Anoop Kumar Tiwari, Bharat Goel, Shreyans K. Jain, Akhand Pratap Singh, Sujeet Kumar, Timothy A. Budd and Kumarasamy Thangaraj and has published in prestigious journals such as Nature Communications, Science Advances and Psychiatry Research.

In The Last Decade

Rajeev Pandey

22 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajeev Pandey United States 10 115 80 57 42 41 24 326
Kevin Thai United States 9 185 1.6× 35 0.4× 55 1.0× 24 0.6× 22 0.5× 18 449
Xianyu Chen China 10 113 1.0× 149 1.9× 146 2.6× 17 0.4× 53 1.3× 32 446
Tzu-Yi Chen United States 14 144 1.3× 57 0.7× 62 1.1× 5 0.1× 15 0.4× 38 436
Chinmoy K Bose India 10 79 0.7× 30 0.4× 41 0.7× 27 0.6× 27 0.7× 32 300
Daibing Zhou China 10 151 1.3× 91 1.1× 69 1.2× 12 0.3× 27 0.7× 27 414
Yuening Zhang China 10 123 1.1× 29 0.4× 27 0.5× 23 0.5× 18 0.4× 26 265
Olga Nikolova United States 9 247 2.1× 31 0.4× 54 0.9× 7 0.2× 18 0.4× 18 390
Xingjian Cao China 9 250 2.2× 121 1.5× 99 1.7× 21 0.5× 107 2.6× 27 457
Lee Chao United States 11 122 1.1× 24 0.3× 29 0.5× 38 0.9× 84 2.0× 24 465
Tianjiao Du China 5 231 2.0× 69 0.9× 28 0.5× 29 0.7× 33 0.8× 8 348

Countries citing papers authored by Rajeev Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Pandey. A scholar is included among the top collaborators of Rajeev Pandey 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 Rajeev Pandey. Rajeev Pandey 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.
Phalke, Sameer, et al.. (2025). Characterisation of the Novel HLA‐DQB1*06:469 Allele by Next‐Generation Sequencing. HLA. 105(1). e70025–e70025. 1 indexed citations
2.
Singh, Devendra, et al.. (2024). Personalized medicine: An alternative for cancer treatment. Cancer Treatment and Research Communications. 42. 100860–100860. 12 indexed citations
3.
Pati, Peeta Basa, et al.. (2024). Identification of the Novel HLA‐DPB1*03:01:27 Allele by Next‐Generation Sequencing. HLA. 104(6). e15781–e15781. 2 indexed citations
4.
Goel, Bharat, Anoop Kumar Tiwari, Rajeev Pandey, et al.. (2022). Therapeutic approaches for the treatment of head and neck squamous cell carcinoma–An update on clinical trials. Translational Oncology. 21. 101426–101426. 77 indexed citations
5.
Harbison, R. Alex, Rajeev Pandey, Michael Considine, et al.. (2022). Interrogation of T Cell–enriched Tumors Reveals Prognostic and Immunotherapeutic Implications of Polyamine Metabolism. Cancer Research Communications. 2(7). 639–652. 4 indexed citations
6.
Rais, Rana, Kathryn M. Lemberg, Lukáš Tenora, et al.. (2022). Discovery of DRP-104, a tumor-targeted metabolic inhibitor prodrug. Science Advances. 8(46). eabq5925–eabq5925. 77 indexed citations
7.
Singh, Karmveer, Emanuela Camera, Linda Krug, et al.. (2018). JunB defines functional and structural integrity of the epidermo-pilosebaceous unit in the skin. Nature Communications. 9(1). 3425–3425. 27 indexed citations
8.
Singh, Piyoosh Kumar, et al.. (2015). Evaluation of psychiatric and genetic risk factors among primary relatives of suicide completers in Delhi NCR region, India. Psychiatry Research. 229(3). 933–939. 6 indexed citations
9.
Singh, Amit, et al.. (2013). Mutational identification of fibroblast growth factor receptor 1 and fibroblast growth factor receptor 2 genes in craniosynostosis in Indian population. Indian journal of human genetics. 19(4). 449–449. 5 indexed citations
10.
Pandey, Rajeev, Dharmendra Singh, Szilárd Gódi, Kumarasamy Thangaraj, & Vadlamudi Raghavendra Rao. (2012). Standardization of PCR conditions for an Ancient DNA Amplification. Journal of Human Sciences - Journal of Human Sciences. 1 indexed citations
11.
Khattri, Arun, Rajeev Pandey, Nalini Gupta, et al.. (2012). Novel mutations in calcium/calmodulin‐dependent protein kinase IV (CAMK4) gene in infertile men. International Journal of Andrology. 35(6). 810–818. 14 indexed citations
12.
Khattri, Arun, Rajeev Pandey, Nalini Gupta, et al.. (2009). CA repeat and RsaI polymorphisms in ERβ gene are not associated with infertility in Indian men. International Journal of Andrology. 32(1). 81–87. 13 indexed citations
13.
Khattri, Arun, Rajeev Pandey, Nalini Gupta, et al.. (2009). Estrogen receptor   gene mutations in Indian infertile men. Molecular Human Reproduction. 15(8). 513–520. 13 indexed citations
14.
Khattri, Arun, Rajeev Pandey, Nalini Gupta, et al.. (2009). APOB Gene Signal Peptide Deletion Polymorphism Is Not Associated With Infertility in Indian Men. Journal of Andrology. 30(6). 734–738. 5 indexed citations
15.
Pandey, Rajeev & Margaret Burnett. (2002). Is it easier to write matrix manipulation programs visually or textually? An empirical study. 344–351. 20 indexed citations
16.
17.
Burnett, Margaret, et al.. (2002). FAR: an end-user language to support cottage e-services. 195–202. 24 indexed citations
18.
Budd, Timothy A. & Rajeev Pandey. (1995). Never mind the paradigm, what about multiparadigm languages?. ACM SIGCSE Bulletin. 27(2). 25–30. 11 indexed citations
19.
Pandey, Rajeev, et al.. (1994). A multiparadigm approach to compiler construction. ACM SIGPLAN Notices. 29(9). 29–37. 3 indexed citations
20.
Budd, Timothy A. & Rajeev Pandey. (1991). Compiling APL for parallel and vector execution. 80–87. 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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