Rajiv Kumar

1.5k total citations
90 papers, 683 citations indexed

About

Rajiv Kumar is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Rajiv Kumar has authored 90 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Pulmonary and Respiratory Medicine, 43 papers in Oncology and 21 papers in Surgery. Recurrent topics in Rajiv Kumar's work include Lung Cancer Treatments and Mutations (44 papers), Lung Cancer Diagnosis and Treatment (25 papers) and Lung Cancer Research Studies (17 papers). Rajiv Kumar is often cited by papers focused on Lung Cancer Treatments and Mutations (44 papers), Lung Cancer Diagnosis and Treatment (25 papers) and Lung Cancer Research Studies (17 papers). Rajiv Kumar collaborates with scholars based in India, United States and United Kingdom. Rajiv Kumar's co-authors include Kumar Prabhash, Vanita Noronha, Abhishek Mahajan, Amit Joshi, Vijay Patil, Amit Janu, Anuradha Chougule, Akhil Kapoor, Anuradha Choughule and Vanita Noronha and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rajiv Kumar

77 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajiv Kumar India 16 358 270 173 170 85 90 683
Jingjuan Zhu China 12 194 0.5× 204 0.8× 147 0.8× 70 0.4× 54 0.6× 28 483
Xi Tian China 19 347 1.0× 258 1.0× 500 2.9× 274 1.6× 116 1.4× 76 1.1k
Naruemon Wisedopas Thailand 15 254 0.7× 259 1.0× 127 0.7× 95 0.6× 255 3.0× 51 735
Ângela Flávia Logullo Brazil 18 109 0.3× 206 0.8× 231 1.3× 151 0.9× 215 2.5× 48 864
Christos Fountzilas United States 19 159 0.4× 650 2.4× 309 1.8× 155 0.9× 144 1.7× 100 1.0k
Xiaoyong Shen China 15 125 0.3× 142 0.5× 209 1.2× 91 0.5× 57 0.7× 45 605
Weicheng Wang China 16 124 0.3× 154 0.6× 367 2.1× 96 0.6× 65 0.8× 43 759
Yunchao Deng China 12 110 0.3× 154 0.6× 255 1.5× 110 0.6× 68 0.8× 26 530
Xiwen Sun China 15 201 0.6× 143 0.5× 252 1.5× 148 0.9× 31 0.4× 35 689

Countries citing papers authored by Rajiv Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajiv Kumar. A scholar is included among the top collaborators of Rajiv 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 Rajiv Kumar. Rajiv Kumar 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
3.
Malik, Prabhat Singh, Neha Pathak, Aparna Sharma, et al.. (2025). Young Onset Lung Cancer in India: Insights Into Clinical, Demographic, and Genomic Profiles. Clinical Lung Cancer. 26(5). 420–428.e4. 1 indexed citations
4.
Kumar, Amit, Akhil Kapoor, Vanita Noronha, et al.. (2024). Lorlatinib in the second line and beyond for ALK positive lung cancer: real-world data from resource-constrained settings. PubMed. 2(1). 35–35. 1 indexed citations
5.
Bhargava, Prabhat, Anant Ramaswamy, Avanish Saklani, et al.. (2024). Performance of Low-Dose Immunotherapy and Standard-Dose Immunotherapy in Microsatellite Instability-High Metastatic Colorectal Cancer: Real-World Data (CLouD—High Study). JCO Global Oncology. 10(10). e2400141–e2400141. 2 indexed citations
6.
Ramaswamy, Anant, Prabhat Bhargava, S. Srinivas, et al.. (2024). Bevacizumab Erlotinib Switch Maintenance in Chemo-Responsive Advanced Gallbladder and Cholangiocarcinoma (BEER BTC): A Multicenter, Open-Label, Randomized, Phase II Trial. Journal of Clinical Oncology. 42(27). 3218–3227. 1 indexed citations
7.
Pai, Trupti, et al.. (2024). Microfluidics‐based EGFR mutation detection and its implication in the resource‐limited clinical setting. International Journal of Experimental Pathology. 105(3). 90–99. 1 indexed citations
8.
Ostwal, Vikas, Prabhat Bhargava, S. Srinivas, et al.. (2023). Trastuzumab Plus Gemcitabine-Cisplatin for Treatment-Naïve Human Epidermal Growth Factor Receptor 2–Positive Biliary Tract Adenocarcinoma: A Multicenter, Open-Label, Phase II Study (TAB). Journal of Clinical Oncology. 42(7). 800–807. 20 indexed citations
9.
Kumar, Rajiv, Santosh Menon, Omshree Shetty, et al.. (2023). Optimization of Tissue Handling and Processing in the Era of Precision Medicine: A Practical Recommendation from a Multidisciplinary Panel of Indian Experts. SHILAP Revista de lepidopterología. 47(1). 4–16. 1 indexed citations
10.
Mahajan, Abhishek, Ujjwal Baid, Sanjay N. Talbar, et al.. (2023). Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer. SHILAP Revista de lepidopterología. 4(4). 657–668. 6 indexed citations
11.
Yadav, Subhash, Suman Kumar Ankathi, Asawari Patil, & Rajiv Kumar. (2023). Intratumoural metastasis of primary lung adenocarcinoma to non-invasive follicular thyroid neoplasm with papillary-like nuclear features. Pathologica. 115(3). 186–191.
12.
Noronha, Vanita, Amit Joshi, Vijay Patil, et al.. (2022). Characteristics and clinical outcomes of pulmonary sarcomatoid carcinoma: experience from Tata Memorial Centre. ecancermedicalscience. 16. 1438–1438.
14.
Yadav, Subhash, Neha Mittal, Rajiv Kumar, Amit Janu, & Kumar Prabhash. (2021). Metastasis to Appendix Presenting as Acute Appendicitis—A Rare Case Report and Review of Literature. Journal of Gastrointestinal Cancer. 52(3). 1114–1118. 2 indexed citations
15.
Sahay, Ayushi, Rajiv Kumar, Amit Janu, & Kumar Prabhash. (2020). Alk1 gene rearranged pulmonary sarcomatoid carcinoma masquerading as tuberculosis in a young male. Turkish Journal of Pathology. 1(1). 71–77. 1 indexed citations
16.
Joshi, Amit, Nikhil Pande, Vanita Noronha, et al.. (2019). ROS1 mutation non-small cell lung cancer—access to optimal treatment and outcomes. ecancermedicalscience. 13. 900–900. 24 indexed citations
17.
Mittal, Neha, et al.. (2017). Malignant chondroid syringoma of thigh with late metastasis to lung: A very rare case report. Indian Journal of Pathology and Microbiology. 60(3). 418–418. 1 indexed citations
18.
Patil, Vijay, Vanita Noronha, Amit Joshi, et al.. (2017). Phase III study of gefitinib or pemetrexed with carboplatin in EGFR-mutated advanced lung adenocarcinoma. ESMO Open. 2(1). e000168–e000168. 56 indexed citations
20.
Zanwar, Saurabh, Amit Joshi, Vanita Noronha, et al.. (2016). EGFR mutation in squamous cell carcinoma of lung - Does it carry the same connotation as in adenocarcinomas?. Annals of Oncology. 27. vi431–vi431.

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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