Deepam Pushpam

528 total citations
74 papers, 272 citations indexed

About

Deepam Pushpam is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Deepam Pushpam has authored 74 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 25 papers in Pulmonary and Respiratory Medicine and 22 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Deepam Pushpam's work include Acute Lymphoblastic Leukemia research (19 papers), Sarcoma Diagnosis and Treatment (14 papers) and Childhood Cancer Survivors' Quality of Life (12 papers). Deepam Pushpam is often cited by papers focused on Acute Lymphoblastic Leukemia research (19 papers), Sarcoma Diagnosis and Treatment (14 papers) and Childhood Cancer Survivors' Quality of Life (12 papers). Deepam Pushpam collaborates with scholars based in India, United States and Canada. Deepam Pushpam's co-authors include Sameer Bakhshi, Bivas Biswas, Shuvadeep Ganguly, Sachin Khurana, Prabhat Singh Malik, Anita Chopra, Ritu Gupta, Sushmita Pathy, Rajendu Srivastava and Venkatesan Sampath Kumar and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and The Lancet Oncology.

In The Last Decade

Deepam Pushpam

56 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepam Pushpam India 10 91 81 66 64 52 74 272
Manikandan Dhanushkodi India 10 120 1.3× 66 0.8× 42 0.6× 56 0.9× 68 1.3× 73 329
Shuvadeep Ganguly India 9 34 0.4× 69 0.9× 46 0.7× 59 0.9× 60 1.2× 51 249
Giacomo Loseto Italy 11 158 1.7× 33 0.4× 53 0.8× 52 0.8× 38 0.7× 24 343
Marion Strullu France 11 61 0.7× 34 0.4× 84 1.3× 88 1.4× 68 1.3× 29 277
Tina Rizack United States 9 127 1.4× 33 0.4× 28 0.4× 50 0.8× 54 1.0× 20 336
Wendy Vogel United States 8 83 0.9× 30 0.4× 23 0.3× 61 1.0× 29 0.6× 17 279
Rocío Cárdenas‐Cardós Mexico 11 88 1.0× 36 0.4× 38 0.6× 135 2.1× 131 2.5× 41 344
С. Р. Варфоломеева Russia 8 50 0.5× 23 0.3× 34 0.5× 66 1.0× 57 1.1× 118 226
Joseph Lubega United States 9 61 0.7× 32 0.4× 27 0.4× 62 1.0× 64 1.2× 29 275
Gholamreza Bahoush Iran 10 52 0.6× 37 0.5× 77 1.2× 65 1.0× 59 1.1× 40 273

Countries citing papers authored by Deepam Pushpam

Since Specialization
Citations

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

Fields of papers citing papers by Deepam Pushpam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepam Pushpam

This figure shows the co-authorship network connecting the top 25 collaborators of Deepam Pushpam. A scholar is included among the top collaborators of Deepam Pushpam 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 Deepam Pushpam. Deepam Pushpam 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.
Bakhshi, Sameer, Ritu Gupta, Smeeta Gajendra, et al.. (2025). Gene expression signature of IKZF1 deleted B‐cell acute lymphoblastic leukaemia reveals a unique regulation of MUC4. British Journal of Haematology. 207(4). 1259–1270.
2.
Singh, Jay, Sarita Kumari, Jayanth Kumar, et al.. (2025). Integrative Genetic and Transcriptomic Subtyping Improves Prognosis Prediction in B-Lineage Acute Lymphoblastic Leukemia. Laboratory Investigation. 105(9). 104201–104201.
3.
Ganguly, Shuvadeep, et al.. (2025). Prevalence and Perception of Complementary and Alternative Medicine Use Among Childhood Cancer Patients: A Mixed‐Methods Study. Pediatric Blood & Cancer. 72(11). e31975–e31975.
4.
Mohapatra, Debabrata, et al.. (2025). Outcome of Unrelated Umbilical Cord Blood Transplantation in India: A Less Explored Horizon. Indian Pediatrics. 62(12). 881–885.
5.
Bakhshi, Sameer, et al.. (2025). Tiger-man Appearance in a Case of DLBCL. Indian Journal of Nuclear Medicine. 40(1). 40–41.
6.
7.
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
8.
Kumar, Rajive, Sameer Bakhshi, Atul Sharma, et al.. (2024). Refinement of Risk-Stratification of Cytogenetically Normal Acute Myeloid Leukemia Adult Patients by MN1 Expression. Asian Pacific Journal of Cancer Prevention. 25(7). 2283–2289.
9.
Tanwar, Pranay, et al.. (2024). ‘Plasma first’ approach for detecting epidermal growth factor receptor mutation in advanced non-small cell lung carcinoma. Journal of Cancer Research and Clinical Oncology. 150(7). 371–371. 1 indexed citations
10.
Ganguly, Shuvadeep, Vivek Kumar, Bivas Biswas, et al.. (2024). Ewing sarcoma among children 5 years of age or younger: Is it a different disease?. Pediatric Blood & Cancer. 71(11). e31268–e31268. 1 indexed citations
11.
Ganguly, Shuvadeep, Vivek Kumar, Sandeep Agarwala, et al.. (2024). Sex Bias in Treatment Abandonment of Childhood Cancer in India. The Indian Journal of Pediatrics. 91(11). 1119–1126. 4 indexed citations
12.
13.
Ganguly, Shuvadeep, et al.. (2023). Translation and Psychometric Evaluation of the Hindi Language Version of the Pediatric Nausea Assessment Tool (PeNAT) in the Indian Population. The Indian Journal of Pediatrics. 91(2). 149–157. 1 indexed citations
14.
Sharma, Atul, Sameer Bakhshi, Ajay Gogia, et al.. (2023). Dexamethasone-free antiemetic strategy for highly emetogenic chemotherapy: safety and efficacy-pilot study. BMJ Supportive & Palliative Care. 13(e3). e867–e871.
15.
Pushpam, Deepam, et al.. (2022). NK-Lymphoblastic Leukemia/Lymphoma: An Enigma. Indian Journal of Hematology and Blood Transfusion. 38(2). 434–435.
16.
Mahajan, Amita, Sameer Bakhshi, Nishant Verma, et al.. (2021). The impact of COVID‐19 pandemic on access to treatment for children with cancer in India and treating center practices. Cancer. 128(3). 579–586. 18 indexed citations
17.
Pushpam, Deepam, Sameer Bakhshi, & Sandeep Agarwala. (2020). Chemotherapy adaptations in a referral tertiary care center in India for ongoing therapy of pediatric patients with solid tumors during COVID19 pandemic and lockdown. Pediatric Blood & Cancer. 67(11). e28428–e28428. 1 indexed citations
18.
Ganguly, Shuvadeep, Deepam Pushpam, Agrima Mian, et al.. (2020). Real-world Experience of Imatinib in Pediatric Chronic Phase Chronic Myeloid Leukemia: A Single-center Experience From India. Clinical Lymphoma Myeloma & Leukemia. 20(7). e437–e444. 9 indexed citations
19.
Khurana, Sachin, Deepam Pushpam, Deepali Jain, et al.. (2020). Cytotoxic chemotherapy in advanced non–small cell lung cancer with poor performance status: A retrospective analysis from routine clinical practice. Current Problems in Cancer. 44(3). 100550–100550. 7 indexed citations
20.
Pushpam, Deepam & Sameer Bakhshi. (2019). Paediatric chronic myeloid leukaemia. The Indian Journal of Medical Research. 149(5). 600–609. 9 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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