Gary Means
- Genetics top 1%
- Estrogen and related hormone effects 9
- Chronic Lymphocytic Leukemia Research 3
- Reproductive Medicine top 2%
- Physiology top 2%
- Immunology top 5%
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
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- Monoclonal and Polyclonal Antibodies Research 4
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- CAR-T cell therapy research 3
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- RNA Research and Splicing 3
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- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Carole R. MendelsonMala MahendrooMichael W. KilgoreSandra E. Graham-LorenceBilal AmarnehSerdar E. BulunCarolyn R. FisherMargaret M. Hinshelwood
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (3 papers)Blood (3 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Gary Means
30 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Genetics 1.4k
- Reproductive Medicine 421
- Physiology 190
- Immunology 468
- Endocrinology, Diabetes and Metabolism 315
Countries citing papers authored by Gary Means
This map shows the geographic impact of Gary Means'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 Gary Means with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Means more than expected).
Fields of papers citing papers by Gary Means
This network shows the impact of papers produced by Gary Means. 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 Gary Means. The network helps show where Gary Means may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary Means, 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 | 2021 | 0 | |
| 2 | 2021 | 12 | |
| 3 | 2013 | 137 | |
| 4 | 2013 | 34 | |
| 5 | 2004 | 67 | |
| 6 | 2004 | 3 | |
| 7 | 2001 | 8 | |
| 8 | 2000 | 20 | |
| 9 | 1999 | 168 | |
| 10 | 1999 | 18 | |
| 11 | Aromatase Cytochrome P450, The Enzyme Responsible for Estrogen Biosynthesis*breakdown → | 1994 | 1209 |
| 12 | 1993 | 39 | |
| 13 | 1992 | 7 | |
| 14 | 1992 | 55 | |
| 15 | 1992 | 21 | |
| 16 | 1991 | 221 | |
| 17 | 1991 | 26 | |
| 18 | 1990 | 17 | |
| 19 | 1989 | 285 | |
| 20 | 1988 | 2 |
About Gary Means
Gary Means is a scholar working on Immunology, Genetics and Pharmacology, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), RNA Research and Splicing (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Genetics (1.4k citations), Reproductive Medicine (421 citations) and Physiology (190 citations). Gary Means has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Carole R. Mendelson, Mala Mahendroo, Michael W. Kilgore, Sandra E. Graham-Lorence, Bilal Amarneh, Serdar E. Bulun, Carolyn R. Fisher, Margaret M. Hinshelwood, Yuji Ito and C. Jo Corbin. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Blood, Journal of Clinical Investigation, Clinical Chemistry and Journal of Clinical Oncology.
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.