Grzegorz Sumara
- Biological Psychiatry top 10%
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 8
- Wnt/β-catenin signaling in development and cancer 4
- Melanoma and MAPK Pathways 3
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Kinase Regulation and GTPase Signaling 3
- Epigenetics and DNA Methylation 2
- Cell Biology top 5%
- Aging top 10%
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- Adipose Tissue and Metabolism 9
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- Pancreatic function and diabetes 8
- Co-authors
- Roméo RicciGérard KarsentyOlga SumaraIzabela SumaraRabih El‐MerahbiAlexander E. MayerMona C. LöfflerJason K. Kim
- Partner nations
- GermanyPolandSwitzerland
In The Last Decade
Grzegorz Sumara
28 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Biological Psychiatry 59
- Molecular Biology 1.4k
- Cell Biology 327
- Endocrinology, Diabetes and Metabolism 301
- Aging 30
Countries citing papers authored by Grzegorz Sumara
This map shows the geographic impact of Grzegorz Sumara'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 Grzegorz Sumara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grzegorz Sumara more than expected).
Fields of papers citing papers by Grzegorz Sumara
This network shows the impact of papers produced by Grzegorz Sumara. 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 Grzegorz Sumara. The network helps show where Grzegorz Sumara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grzegorz Sumara, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 61 | |
| 9 | 2020 | 121 | |
| 10 | 2015 | 185 | |
| 11 | 2013 | 47 | |
| 12 | 2012 | 79 | |
| 13 | 2012 | 174 | |
| 14 | Endocrine Regulation of Male Fertility by the Skeletonbreakdown → | 2011 | 466 |
| 15 | 2009 | 84 | |
| 16 | 2009 | 198 | |
| 17 | 2007 | 184 | |
| 18 | 2006 | 187 | |
| 19 | 2005 | 48 | |
| 20 | 2005 | 39 |
About Grzegorz Sumara
Grzegorz Sumara is a scholar working on Aging, Physiology and Molecular Biology, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Melanoma and MAPK Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Molecular Biology (1.4k citations) and Cell Biology (327 citations). Grzegorz Sumara has collaborated with scholars based in Germany, Poland and Switzerland. Frequent co-authors include Roméo Ricci, Gérard Karsenty, Olga Sumara, Izabela Sumara, Rabih El‐Merahbi, Alexander E. Mayer, Mona C. Löffler, Jason K. Kim, Erwin F. Wagner and Louis Hermo. Their work appears in journals such as Genes & Development, Scientific Reports, Cell, Cell stem cell and Biochemical and Biophysical Research Communications.
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.