Anna Gumà
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Metabolism, Diabetes, and Cancer 30
- Ion channel regulation and function 9
- Physiology 20
- Adipose Tissue and Metabolism 17
- Co-authors
- António Zorzano (34 shared papers)Manuel Palacı́n (29 shared papers)Amira Klip (5 shared papers)Juleen R. Zierath (3 shared papers)Harriet Wallberg‐Henriksson (2 shared papers)Xavier Testar (19 shared papers)Eduard Andía (6 shared papers)Erik Wahlström (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Biochemical Journal (6 papers)Hormone and Metabolic Research (4 papers)International Journal of Molecular Sciences (3 papers)Breast Cancer Research and Treatment (3 papers)
- Partner nations
- SpainCanadaUnited Kingdom
In The Last Decade
Anna Gumà
72 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 100
- Physiology 733
- Hepatology 197
- Endocrinology, Diabetes and Metabolism 383
- Molecular Biology 1.3k
- Cell Biology 300
Countries citing papers authored by Anna Gumà
This map shows the geographic impact of Anna Gumà'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 Anna Gumà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Gumà more than expected).
Fields of papers citing papers by Anna Gumà
This network shows the impact of papers produced by Anna Gumà. 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 Anna Gumà. The network helps show where Anna Gumà may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Gumà, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 316 | |
| 2 | 2001 | 179 | |
| 3 | 2005 | 151 | |
| 4 | 2000 | 131 | |
| 5 | 2001 | 103 | |
| 6 | 2000 | 94 | |
| 7 | 1993 | 92 | |
| 8 | 2021 | 78 | |
| 9 | 1995 | 74 | |
| 10 | 1995 | 72 | |
| 11 | 1997 | 66 | |
| 12 | 1992 | 61 | |
| 13 | 2009 | 59 | |
| 14 | 1998 | 59 | |
| 15 | 2023 | 56 | |
| 16 | 2004 | 55 | |
| 17 | 2022 | 52 | |
| 18 | 1999 | 52 | |
| 19 | 2003 | 51 | |
| 20 | 1996 | 51 |
About Anna Gumà
Anna Gumà is a scholar working on Molecular Biology, Physiology, Cancer Research, Surgery and Oncology, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (30 papers), Adipose Tissue and Metabolism (17 papers), Breast Cancer Treatment Studies (10 papers), Ion channel regulation and function (9 papers), Pancreatic function and diabetes (7 papers), HER2/EGFR in Cancer Research (6 papers), Breast Lesions and Carcinomas (6 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Physiology (733 citations), Hepatology (197 citations), Endocrinology, Diabetes and Metabolism (383 citations), Molecular Biology (1.3k citations) and Cell Biology (300 citations). Anna Gumà has collaborated with scholars based in Spain, Canada and United Kingdom. Frequent co-authors include António Zorzano, Manuel Palacı́n, Amira Klip, Juleen R. Zierath, Harriet Wallberg‐Henriksson, Xavier Testar, Eduard Andía, Erik Wahlström, Lijing He and Antonio Sánchez-Porto. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Hormone and Metabolic Research, International Journal of Molecular Sciences and Breast Cancer Research and Treatment.
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.