Prodipto Pal

1.7k citations
58 papers · 1.3k · h-index 21

Impact in

  • Genetics top 5%
    • BRCA gene mutations in cancer
    • Genetic Associations and Epidemiology
    • Lung Cancer Treatments and Mutations
    • Prostate Cancer Treatment and Research
    • Occupational and environmental lung diseases

Papers in

Prodipto Pal

56 papers receiving 1.3k citations

Peers

Prodipto Pal
Comparison fields: 5 of 53
  • Genetics 274
  • Pulmonary and Respiratory Medicine 289
  • Cancer Research 70
  • Oncology 83
  • Neurology 35
Replace Adriano Angioni with:
Adriano Angioni Italy
Kai Ren Ong United Kingdom
Isabelle N. King United States
Wenlin Chen China
Zachary C. Fogarty United States
Surya P. Rednam United States
Daniëlle Bodmer Netherlands
Shan Yang United States
L Mansuy France
Ryuta Tanimoto Japan
Prodipto Pal relative to Adriano Angioni Italy Adriano Angioni's profile →
Citations per field
00.5×2×3×4×4.6×
Adriano Angioni · 1×
Citations per year

Countries citing papers authored by Prodipto Pal

Since Specialization
Citations

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

Fields of papers citing papers by Prodipto Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prodipto Pal, 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 Prodipto Pal Line = papers co-authored together Prodipto Pal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010241
2 200992
3 202264
4 202161
5 200558
6 200553
7 200653
8 200751
9 202146
10 202345
11 200941
12 202141
13 200738
14 200734
15 200631
16 200929
17 201028
18 200922
19 201122
20 200721

About Prodipto Pal

Prodipto Pal is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Genetics, Oncology and Cancer Research, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (12 papers), Lung Cancer Treatments and Mutations (10 papers), Cancer Immunotherapy and Biomarkers (4 papers), Genetic Associations and Epidemiology (3 papers), BRCA gene mutations in cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), Occupational and environmental lung diseases (2 papers) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Genetics (274 citations), Pulmonary and Respiratory Medicine (289 citations), Cancer Research (70 citations), Oncology (83 citations) and Neurology (35 citations). Prodipto Pal has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Ranjan Deka, Ritesh D. Kaushal, Guangyun Sun, Ranajit Chakraborty, Ming‐Sound Tsao, Kenneth Offit, Larry Norton, Mia M. Gaudet, Mark E. Robson and Tomas Kirchhoff. Their work appears in journals such as Journal of Thoracic Oncology, Lung Cancer, The Journal of Heart and Lung Transplantation, Human Genetics and Transplant International.

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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