Bhuvanesh Dave

3.5k citations
39 papers · 2.6k · h-index 24

Impact in

  • Oncology top 2%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics

Papers in

    • Protein Hydrolysis and Bioactive Peptides 3
    • DNA Repair Mechanisms 2
    • HER2/EGFR in Cancer Research 6
    • Cancer Cells and Metastasis 5

Bhuvanesh Dave

39 papers receiving 2.5k citations

Peers

Bhuvanesh Dave
Comparison fields: 5 of 104
  • Oncology 1.1k
  • Cancer Research 373
  • Molecular Biology 1.1k
  • Hepatology 113
  • Radiology, Nuclear Medicine and Imaging 288
Replace Anping Li with:
Anping Li China
Brigitte Bauvois France
M Kuwano Japan
Pedro Miguel Lacal Italy
Mamoru Harada Japan
Jens Oliver Funk Germany
M. Mareel Belgium
Jingxuan Pan China
Xuanmao Jiao United States
Bhuvanesh Dave relative to Anping Li China Anping Li's profile →
Citations per field
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Anping Li · 1×
Citations per year

Countries citing papers authored by Bhuvanesh Dave

Since Specialization
Citations

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

Fields of papers citing papers by Bhuvanesh Dave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011363
2 2012208
3 2010193
4 2014191
5 2015177
6 2014137
7 2002125
8 2011113
9 2012103
10 201499
11 200983
12 201883
13 200576
14 201868
15 200856
16 201055
17 200954
18 201253
19 201652
20 201147

About Bhuvanesh Dave

Bhuvanesh Dave is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Cancer Cells and Metastasis (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Phytoestrogen effects and research (4 papers), Cancer Mechanisms and Therapy (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Nanoplatforms for cancer theranostics (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (373 citations), Molecular Biology (1.1k citations), Hepatology (113 citations) and Radiology, Nuclear Medicine and Imaging (288 citations). Bhuvanesh Dave has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Jenny C. Chang, Carlos L. Arteaga, Anindita Chakrabarty, Vivek Mittal, Helen Wong, Cammie Rinehart, Nara De Matos Granja-Ingram, Melissa D. Landis, Dong Soon Choi and Wei Qian. Their work appears in journals such as Cancer Research, Breast Cancer Research, PLoS ONE, Breast Cancer Research and Treatment and Clinical Cancer Research.

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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