Deepam Pushpam

56 papers receiving 267 citations

Peers

Deepam Pushpam
Comparison fields: 5 of 63
  • Hematology 66
  • Oncology 91
  • Pediatrics, Perinatology and Child Health 52
  • Pulmonary and Respiratory Medicine 81
  • Genetics 25
Replace Manikandan Dhanushkodi with:
Manikandan Dhanushkodi India
Joseph Lubega United States
Marion Strullu France
Giacomo Loseto Italy
Shuvadeep Ganguly India
Mary Choroszy United States
С. Р. Варфоломеева Russia
Gholamreza Bahoush Iran
Wendy Vogel United States
Leanne Super Australia
Deepam Pushpam relative to Manikandan Dhanushkodi India Manikandan Dhanushkodi's profile →
Citations per field
00.5×2.5×
Manikandan Dhanushkodi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Deepam Pushpam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepam Pushpam Line = papers co-authored together Deepam Pushpam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202118
2 202015
3 202115
4 202014
5 202213
6 202110
7 201510
8 202010
9 20209
10 20199
11
Development and validation of a prognostic score at baseline diagnosis for Ewing sarcoma family of tumors: a retrospective single institution analysis of 860 patients.
20229
12 20229
13 20228
14 20228
15 20207
16 20237
17 20217
18 20226
19 20226
20 20216

About Deepam Pushpam

Deepam Pushpam is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Hematology and Pathology and Forensic Medicine, having authored 74 papers that have together received 272 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (19 papers), Sarcoma Diagnosis and Treatment (14 papers), Childhood Cancer Survivors' Quality of Life (12 papers), Acute Myeloid Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (11 papers), Chronic Myeloid Leukemia Treatments (11 papers), Lung Cancer Treatments and Mutations (8 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Hematology (66 citations), Oncology (91 citations), Pediatrics, Perinatology and Child Health (52 citations), Pulmonary and Respiratory Medicine (81 citations) and Genetics (25 citations). Deepam Pushpam has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Sameer Bakhshi, Bivas Biswas, Shuvadeep Ganguly, Sachin Khurana, Anita Chopra, Prabhat Singh Malik, Ritu Gupta, Sandeep Agarwala, Sushmita Pathy and Sandip Ganguly. Their work appears in journals such as Frontiers in Oncology, Pediatric Blood & Cancer, Journal of Clinical Oncology, JCO Global Oncology and Journal of Cancer Research and Clinical Oncology.

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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