Gregory K. Behbehani
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
-
- Single-cell and spatial transcriptomics 15
- Hematology 22
- Acute Myeloid Leukemia Research 18
- Co-authors
- Garry P. Nolan (10 shared papers)Wendy J. Fantl (6 shared papers)Rachel Finck (3 shared papers)Zach B. Bjornson (2 shared papers)Eli R. Zunder (2 shared papers)Sean C. Bendall (2 shared papers)Matthew R. Clutter (1 shared paper)Kelly A. Combs (4 shared papers)
- Journals
- Blood (10 papers)Cytometry Part A (5 papers)Journal of Clinical Oncology (4 papers)Human Molecular Genetics (2 papers)Leukemia (2 papers)
- Partner nations
- United StatesSouth KoreaPoland
In The Last Decade
Gregory K. Behbehani
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Biophysics 168
- Immunology 482
- Hematology 249
- Molecular Biology 957
- Oncology 366
Countries citing papers authored by Gregory K. Behbehani
This map shows the geographic impact of Gregory K. Behbehani'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 Gregory K. Behbehani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory K. Behbehani more than expected).
Fields of papers citing papers by Gregory K. Behbehani
This network shows the impact of papers produced by Gregory K. Behbehani. 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 Gregory K. Behbehani. The network helps show where Gregory K. Behbehani may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory K. Behbehani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 358 | |
| 2 | 2012 | 164 | |
| 3 | 2004 | 132 | |
| 4 | 2014 | 80 | |
| 5 | 2015 | 74 | |
| 6 | 2016 | 70 | |
| 7 | 2021 | 68 | |
| 8 | 2021 | 65 | |
| 9 | 2011 | 46 | |
| 10 | 2022 | 37 | |
| 11 | 2017 | 37 | |
| 12 | 2008 | 34 | |
| 13 | 2019 | 32 | |
| 14 | 2019 | 29 | |
| 15 | 2020 | 27 | |
| 16 | 2005 | 25 | |
| 17 | 2020 | 21 | |
| 18 | 2015 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2019 | 17 |
About Gregory K. Behbehani
Gregory K. Behbehani is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Genetics, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Single-cell and spatial transcriptomics (15 papers), Immune Cell Function and Interaction (12 papers), Immune cells in cancer (10 papers), CAR-T cell therapy research (7 papers), Cancer Genomics and Diagnostics (7 papers), Cell Image Analysis Techniques (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Biophysics (168 citations), Immunology (482 citations), Hematology (249 citations), Molecular Biology (957 citations) and Oncology (366 citations). Gregory K. Behbehani has collaborated with scholars based in United States, South Korea and Poland. Frequent co-authors include Garry P. Nolan, Wendy J. Fantl, Rachel Finck, Zach B. Bjornson, Eli R. Zunder, Sean C. Bendall, Matthew R. Clutter, Kelly A. Combs, Dana Pe’er and El-ad David Amir. Their work appears in journals such as Blood, Cytometry Part A, Journal of Clinical Oncology, Human Molecular Genetics and Leukemia.
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.