Prachi Bhave

42 total papers · 1.0k total citations
22 papers, 293 citations indexed

About

Prachi Bhave is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Prachi Bhave has authored 22 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 9 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Prachi Bhave's work include Cancer Immunotherapy and Biomarkers (12 papers), Melanoma and MAPK Pathways (9 papers) and Cutaneous Melanoma Detection and Management (9 papers). Prachi Bhave is often cited by papers focused on Cancer Immunotherapy and Biomarkers (12 papers), Melanoma and MAPK Pathways (9 papers) and Cutaneous Melanoma Detection and Management (9 papers). Prachi Bhave collaborates with scholars based in Australia, United States and Germany. Prachi Bhave's co-authors include Andrew Haydon, Douglas B. Johnson, Matteo S. Carlino, Georgina V. Long, James R. Patrinely, Alexander M. Menzies, Hui‐Ling Yeoh, Amelia Sawyers, Elizabeth J. Davis and Iman Osman and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.

In The Last Decade

Prachi Bhave

21 papers receiving 290 citations

Author Peers

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

Author Last Decade Papers Cites
Prachi Bhave 226 70 65 53 27 22 293
Annelieke E.C.A.B. Willemsen 143 0.6× 89 1.3× 102 1.6× 40 0.8× 31 1.1× 25 295
Kathleen Madden 164 0.7× 110 1.6× 107 1.6× 57 1.1× 17 0.6× 21 286
Samer Tabchi 211 0.9× 65 0.9× 137 2.1× 28 0.5× 18 0.7× 24 321
Lianfang Pu 190 0.8× 59 0.8× 60 0.9× 33 0.6× 43 1.6× 21 322
Chet Bohac 220 1.0× 52 0.7× 107 1.6× 84 1.6× 16 0.6× 20 334
Daniel Leino 123 0.5× 50 0.7× 53 0.8× 46 0.9× 20 0.7× 20 289
Craig Vargo 172 0.8× 114 1.6× 101 1.6× 23 0.4× 24 0.9× 20 338
Adam Diehl 220 1.0× 54 0.8× 69 1.1× 54 1.0× 12 0.4× 16 297
Yuxin Chu 135 0.6× 70 1.0× 110 1.7× 20 0.4× 44 1.6× 27 280
Timothy Carll 169 0.7× 82 1.2× 33 0.5× 102 1.9× 16 0.6× 24 353

Countries citing papers authored by Prachi Bhave

Since Specialization
Citations

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

Fields of papers citing papers by Prachi Bhave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Bhave

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