Bobby Bhatia
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Hedgehog Signaling Pathway Studies 5
- Epigenetics and DNA Methylation 3
- Oncology 6
- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 3
- Co-authors
- Dean G. Tang (11 shared papers)Robin Schneider‐Broussard (5 shared papers)Dhyan Chandra (5 shared papers)Shaohua Tang (6 shared papers)Lubna Patrawala (4 shared papers)L. G. Coghlan (1 shared paper)Kent Claypool (1 shared paper)Heng Li (1 shared paper)
- Journals
- Oncogene (5 papers)Cell Cycle (3 papers)Journal of Biological Chemistry (3 papers)International Journal of Cancer (1 paper)Acta Neuropathologica (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Bobby Bhatia
17 papers receiving 1.8k citations
Bobby Bhatia's Hit Papers
Peers
Comparison fields: 5 of 92
- Oncology 805
- Cancer Research 414
- Molecular Biology 967
- Pulmonary and Respiratory Medicine 331
- Cell Biology 163
Countries citing papers authored by Bobby Bhatia
This map shows the geographic impact of Bobby Bhatia'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 Bobby Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bobby Bhatia more than expected).
Fields of papers citing papers by Bobby Bhatia
This network shows the impact of papers produced by Bobby Bhatia. 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 Bobby Bhatia. The network helps show where Bobby Bhatia may publish in the future.
Co-authors
The 25 scholars most cited alongside Bobby Bhatia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Highly purified CD44+ prostate cancer cells from xenograft human tumors are enriched in tumorigenic and metastatic progenitor cells Hit paper breakdown → | 2006 | 826 |
| 2 | 2006 | 183 | |
| 3 | 2004 | 139 | |
| 4 | 2003 | 126 | |
| 5 | 2002 | 110 | |
| 6 | 2010 | 66 | |
| 7 | 2003 | 62 | |
| 8 | 2006 | 52 | |
| 9 | 2005 | 46 | |
| 10 | 2012 | 43 | |
| 11 | 2007 | 38 | |
| 12 | 2009 | 34 | |
| 13 | 2008 | 32 | |
| 14 | 2004 | 27 | |
| 15 | 2010 | 22 | |
| 16 | 2010 | 14 | |
| 17 | 2010 | 3 |
About Bobby Bhatia
Bobby Bhatia is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (5 papers), Estrogen and related hormone effects (4 papers), Prostate Cancer Treatment and Research (4 papers), Inflammatory mediators and NSAID effects (3 papers), Cancer-related Molecular Pathways (3 papers), Cancer Cells and Metastasis (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Oncology (805 citations), Cancer Research (414 citations), Molecular Biology (967 citations), Pulmonary and Respiratory Medicine (331 citations) and Cell Biology (163 citations). Bobby Bhatia has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Dean G. Tang, Robin Schneider‐Broussard, Dhyan Chandra, Shaohua Tang, Lubna Patrawala, L. G. Coghlan, Kent Claypool, Heng Li, Jiancheng Zhou and Grace Choy. Their work appears in journals such as Oncogene, Cell Cycle, Journal of Biological Chemistry, International Journal of Cancer and Acta Neuropathologica.
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.