Poonam Patil

76 total papers · 642 total citations
31 papers, 350 citations indexed

About

Poonam Patil is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Poonam Patil has authored 31 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 7 papers in Surgery. Recurrent topics in Poonam Patil's work include Cancer Immunotherapy and Biomarkers (7 papers), Economic and Financial Impacts of Cancer (6 papers) and Cancer Genomics and Diagnostics (5 papers). Poonam Patil is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Economic and Financial Impacts of Cancer (6 papers) and Cancer Genomics and Diagnostics (5 papers). Poonam Patil collaborates with scholars based in India and United States. Poonam Patil's co-authors include Amit Rauthan, S. P. Somashekhar, Andrew D. Norden, Ramya Yethadka, Rohit Kumar, Edward H. Shortliffe, Kyu Rhee, Martín-José Sepúlveda, Martin Sepulveda and Rohit Kumar and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Poonam Patil

24 papers receiving 326 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Poonam Patil	140	135	113	54	52	31	350
Rohit Kumar	101 0.7×	105 0.8×	83 0.7×	63 1.2×	52 1.0×	37	340
Ramya Yethadka	102 0.7×	102 0.8×	83 0.7×	42 0.8×	47 0.9×	26	318
Sumeet Hindocha	79 0.6×	172 1.3×	101 0.9×	38 0.7×	81 1.6×	16	331
Anurag Saraf	82 0.6×	107 0.8×	49 0.4×	130 2.4×	96 1.8×	33	384
Zherui Liu	103 0.7×	68 0.5×	84 0.7×	56 1.0×	30 0.6×	11	367
Damian Rieke	84 0.6×	59 0.4×	106 0.9×	95 1.8×	63 1.2×	40	391
Sheng-Chieh Lu	59 0.4×	54 0.4×	68 0.6×	42 0.8×	25 0.5×	27	329
Nathan Radakovich	44 0.3×	60 0.4×	82 0.7×	32 0.6×	28 0.5×	15	292
Dominik Soll	81 0.6×	47 0.3×	69 0.6×	28 0.5×	29 0.6×	16	336
Matthew Nagy	58 0.4×	58 0.4×	59 0.5×	42 0.8×	31 0.6×	26	320

Countries citing papers authored by Poonam Patil

Since Specialization

Citations

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

Fields of papers citing papers by Poonam Patil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Poonam Patil. A scholar is included among the top collaborators of Poonam Patil 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 Poonam Patil. Poonam Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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