Prabhat Singh Malik

1.9k total citations
116 papers, 1.1k citations indexed

About

Prabhat Singh Malik is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Prabhat Singh Malik has authored 116 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Oncology, 57 papers in Pulmonary and Respiratory Medicine and 28 papers in Molecular Biology. Recurrent topics in Prabhat Singh Malik's work include Lung Cancer Treatments and Mutations (44 papers), Lung Cancer Research Studies (26 papers) and Lung Cancer Diagnosis and Treatment (21 papers). Prabhat Singh Malik is often cited by papers focused on Lung Cancer Treatments and Mutations (44 papers), Lung Cancer Research Studies (26 papers) and Lung Cancer Diagnosis and Treatment (21 papers). Prabhat Singh Malik collaborates with scholars based in India, Canada and United States. Prabhat Singh Malik's co-authors include Lalit Kumar, Sachin Khurana, Deepali Jain, Anant Mohan, Navneet Singh, Vinod Raina, Sunil Kumar, Mehar Chand Sharma, Aruna Nambirajan and Anant Mohan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Prabhat Singh Malik

102 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhat Singh Malik India 17 493 416 379 236 143 116 1.1k
Rami Manochakian United States 17 686 1.4× 490 1.2× 330 0.9× 185 0.8× 96 0.7× 87 1.2k
Dale R. Shepard United States 17 478 1.0× 470 1.1× 419 1.1× 258 1.1× 70 0.5× 75 1.2k
Virginia E. Kwitkowski United States 16 423 0.9× 264 0.6× 484 1.3× 176 0.7× 119 0.8× 18 1.2k
Edgardo S. Santos United States 21 576 1.2× 524 1.3× 384 1.0× 230 1.0× 69 0.5× 101 1.2k
Anusha Vakiti United States 9 301 0.6× 566 1.4× 445 1.2× 183 0.8× 162 1.1× 27 1.0k
Karina Vera United States 10 723 1.5× 762 1.8× 816 2.2× 287 1.2× 158 1.1× 17 1.7k
Dipesh Uprety United States 15 484 1.0× 377 0.9× 313 0.8× 128 0.5× 42 0.3× 71 1.0k
Lissandra Dal Lago Belgium 18 1.2k 2.4× 254 0.6× 305 0.8× 219 0.9× 115 0.8× 54 1.7k
Daniel Mulkerin United States 18 670 1.4× 229 0.6× 366 1.0× 89 0.4× 209 1.5× 79 1.2k
Chadi Nabhan United States 20 505 1.0× 332 0.8× 609 1.6× 196 0.8× 388 2.7× 97 1.5k

Countries citing papers authored by Prabhat Singh Malik

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Singh Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhat Singh Malik

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhat Singh Malik. A scholar is included among the top collaborators of Prabhat Singh Malik 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 Prabhat Singh Malik. Prabhat Singh Malik 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.
2.
Kumar, Lalit, Prabhat Singh Malik, Raja Pramanik, et al.. (2025). Characteristics of long term survivors of multiple myeloma after autologous stem cell transplantation: a retrospective analysis from a tertiary care centre in India. The Lancet Regional Health - Southeast Asia. 42. 100680–100680.
3.
Malik, Prabhat Singh, et al.. (2024). The burden of tuberculosis among patients with non-small cell lung carcinoma in a tertiary care center. Indian Journal of Medical Microbiology. 52. 100729–100729.
4.
Ahmed, Javed, Prabhat Singh Malik, S. V. S. Deo, et al.. (2024). Active Tuberculosis Risk Associated with Malignancies: A 4-Year Retrospective Study in a Tertiary Care Hospital. SHILAP Revista de lepidopterología. 14(4). 771–776.
5.
Nambirajan, Aruna, et al.. (2024). Pleural effusion supernatant: a reliable resource for cell-free DNA in molecular testing of lung cancer. Journal of the American Society of Cytopathology. 13(4). 291–302. 3 indexed citations
6.
Nambirajan, Aruna, et al.. (2024). Retrospective application of WHO reporting system for lung cytopathology with assessment of risk of malignancy. Journal of the American Society of Cytopathology. 13(3). 183–193. 2 indexed citations
7.
8.
Sharma, Atul, Sameer Bakhshi, Prabhat Singh Malik, et al.. (2024). Topical Diclofenac for Prevention of Capecitabine-Associated Hand-Foot Syndrome: A Double-Blind Randomized Controlled Trial. Journal of Clinical Oncology. 42(15). 1821–1829. 13 indexed citations
9.
10.
Nambirajan, Aruna, et al.. (2022). Primary pulmonary epithelioid inflammatory myofibroblastic sarcoma: a rare entity and a literature review. Journal of Pathology and Translational Medicine. 56(4). 231–237. 7 indexed citations
11.
12.
Singh, Shalendra, et al.. (2022). Severity and mortality prediction models to triage Indian COVID-19 patients. SHILAP Revista de lepidopterología. 1(3). e0000020–e0000020. 4 indexed citations
13.
Singh, Varsha, et al.. (2021). Correlation of TTF-1 immunoexpression and EGFR mutation spectrum in non–small cell lung carcinoma. Journal of Pathology and Translational Medicine. 55(4). 279–288. 8 indexed citations
14.
Prinja, Shankar, Nidhi Gupta, Nikita Mehra, et al.. (2021). Development of National Cancer Database for Cost and Quality of Life (CaDCQoL) in India: a protocol. BMJ Open. 11(7). e048513–e048513. 16 indexed citations
15.
Singh, Varsha, Aruna Nambirajan, Prabhat Singh Malik, et al.. (2020). Spectrum of uncommon and compound epidermal growth factor receptor mutations in non-small-cell lung carcinomas with treatment response and outcome analysis: A study from India. Lung Cancer. 149. 53–60. 13 indexed citations
16.
Batra, Ullas, Kuruswamy Thurai Prasad, Joydeep Ghosh, et al.. (2020). Real world experience of treatment and outcome in ALK-rearranged metastatic nonsmall cell lung cancer: A multicenter study from India. Current Problems in Cancer. 44(3). 100571–100571. 19 indexed citations
17.
Kumar, Sachin, Surender K. Sharawat, Prabhat Singh Malik, et al.. (2020). Identification of differentially expressed circulating serum microRNA for the diagnosis and prognosis of Indian non–small cell lung cancer patients. Current Problems in Cancer. 44(4). 100540–100540. 45 indexed citations
18.
Gogia, Ajay, S. V. S. Deo, Dayanand Sharma, et al.. (2019). Discordance in Biomarker Expression in Breast Cancer After Metastasis: Single Center Experience in India. Journal of Global Oncology. 5(5). 1–8. 7 indexed citations
19.
Singh, Varsha, Amit Katiyar, Prabhat Singh Malik, et al.. (2019). P1.14-48 Whole Exome Sequencing (WES) in Non-Small Cell Lung Carcinoma (NSCLC): Identification of Novel Biomarkers. Journal of Thoracic Oncology. 14(10). S574–S574. 1 indexed citations
20.
Kumar, Lalit, et al.. (2018). Patient Reported Weight Loss Predicts Recurrence Rate in Renal Cell Cancer Cases after Nephrectomy. PubMed. 19(4). 891–895. 4 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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