Bharathi Vennapusa

26 total papers · 2.2k total citations
15 papers, 309 citations indexed

About

Bharathi Vennapusa is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bharathi Vennapusa has authored 15 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bharathi Vennapusa's work include Cancer Immunotherapy and Biomarkers (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer Genomics and Diagnostics (4 papers). Bharathi Vennapusa is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer Genomics and Diagnostics (4 papers). Bharathi Vennapusa collaborates with scholars based in United States, Türkiye and Egypt. Bharathi Vennapusa's co-authors include Priti S. Hegde, Mark D. Robida, Greg S. Martin, Amita Mistry, H. James Hnatyszyn, Brian M. Baker, Eslie Dennis, Marcin Kowanetz, Hartmut Koeppen and Ian McCaffery and has published in prestigious journals such as Cancer Research, Oncotarget and American Journal of Clinical Pathology.

In The Last Decade

Bharathi Vennapusa

14 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Bharathi Vennapusa	234	106	69	66	32	15	309
Adam Diehl	220 0.9×	69 0.7×	43 0.6×	54 0.8×	54 1.7×	16	297
Ignazio Martellucci	280 1.2×	109 1.0×	73 1.1×	67 1.0×	64 2.0×	16	355
Francesca Sparano	214 0.9×	101 1.0×	63 0.9×	75 1.1×	110 3.4×	19	358
Gennaro Palmiotti	160 0.7×	104 1.0×	61 0.9×	47 0.7×	73 2.3×	22	326
Shu-Mei Yan	163 0.7×	114 1.1×	53 0.8×	63 1.0×	43 1.3×	11	286
Benjamin Bonhomme	127 0.5×	80 0.8×	43 0.6×	33 0.5×	44 1.4×	15	254
Xue‐Wu Wei	179 0.8×	172 1.6×	54 0.8×	41 0.6×	68 2.1×	13	278
Jiewen Peng	205 0.9×	100 0.9×	57 0.8×	36 0.5×	53 1.7×	18	328
Hao Chen	206 0.9×	64 0.6×	62 0.9×	70 1.1×	85 2.7×	11	321
Chester Kao	163 0.7×	158 1.5×	107 1.6×	43 0.7×	110 3.4×	19	325

Countries citing papers authored by Bharathi Vennapusa

Since Specialization

Citations

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

Fields of papers citing papers by Bharathi Vennapusa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bharathi Vennapusa

This figure shows the co-authorship network connecting the top 25 collaborators of Bharathi Vennapusa. A scholar is included among the top collaborators of Bharathi Vennapusa 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 Bharathi Vennapusa. Bharathi Vennapusa 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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