Sigal Gery
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Ubiquitin and proteasome pathways 8
- Retinoids in leukemia and cellular processes 7
- Cancer-related gene regulation 7
- Histone Deacetylase Inhibitors Research 6
- Hematology 17
- Chronic Myeloid Leukemia Treatments 11
- Acute Myeloid Leukemia Research 10
- Co-authors
- H. Phillip Koeffler (61 shared papers)Naoki Komatsu (3 shared papers)H P Koeffler (2 shared papers)Renu K. Virk (3 shared papers)Qi Cao (9 shared papers)Jonathan Said (14 shared papers)Norihiko Kawamata (5 shared papers)Adrian F. Gombart (4 shared papers)
- Journals
- Blood (13 papers)Oncogene (8 papers)Cancer Research (6 papers)International Journal of Cancer (6 papers)Clinical Cancer Research (4 papers)
- Partner nations
- United StatesSingaporeGermany
In The Last Decade
Sigal Gery
72 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 113
- Endocrine and Autonomic Systems 990
- Aging 226
- Hematology 298
- Molecular Biology 1.6k
- Cancer Research 301
Countries citing papers authored by Sigal Gery
This map shows the geographic impact of Sigal Gery'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 Sigal Gery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sigal Gery more than expected).
Fields of papers citing papers by Sigal Gery
This network shows the impact of papers produced by Sigal Gery. 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 Sigal Gery. The network helps show where Sigal Gery may publish in the future.
Co-authors
The 25 scholars most cited alongside Sigal Gery, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 499 | |
| 2 | 2007 | 172 | |
| 3 | 2009 | 158 | |
| 4 | 2007 | 155 | |
| 5 | 2005 | 140 | |
| 6 | 2007 | 108 | |
| 7 | 2010 | 107 | |
| 8 | 2005 | 84 | |
| 9 | 2005 | 79 | |
| 10 | 2016 | 79 | |
| 11 | 2014 | 73 | |
| 12 | 2016 | 69 | |
| 13 | 2014 | 68 | |
| 14 | 2007 | 65 | |
| 15 | 2013 | 64 | |
| 16 | 2005 | 62 | |
| 17 | 2009 | 60 | |
| 18 | 2018 | 60 | |
| 19 | 2018 | 59 | |
| 20 | 2005 | 57 |
About Sigal Gery
Sigal Gery is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Endocrine and Autonomic Systems, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Acute Myeloid Leukemia Research (10 papers), Circadian rhythm and melatonin (9 papers), Ubiquitin and proteasome pathways (8 papers), Retinoids in leukemia and cellular processes (7 papers), Cancer-related gene regulation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (990 citations), Aging (226 citations), Hematology (298 citations), Molecular Biology (1.6k citations) and Cancer Research (301 citations). Sigal Gery has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include H. Phillip Koeffler, Naoki Komatsu, H P Koeffler, Renu K. Virk, Qi Cao, Jonathan Said, Norihiko Kawamata, Adrian F. Gombart, Dong Yin and Wolf‐K. Hofmann. Their work appears in journals such as Blood, Oncogene, Cancer Research, International Journal of Cancer 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.