Anna Gumà

4.0k citations
75 papers · 2.9k · h-index 31

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
    • Adipose Tissue and Metabolism 17

Anna Gumà

72 papers receiving 2.8k citations

Peers

Anna Gumà
Comparison fields: 5 of 101
  • Physiology 758
  • Hepatology 216
  • Endocrinology, Diabetes and Metabolism 404
  • Cell Biology 313
  • Molecular Biology 1.3k
Replace Bruno Derudas with:
Bruno Derudas France
Masahiko Igarashi Japan
Stéphanie Bonnafous France
Reid Huber United States
Masatoshi Kikuchi Japan
Jörg Kotzka Germany
John Fassett United States
Andrea Hartner Germany
Sophie Vaulont France
Kyoung‐Jin Oh South Korea
Anna Gumà relative to Bruno Derudas France Bruno Derudas's profile →
Citations per field
00.5×1.5×2.0×
Bruno Derudas · 1×
Citations per year

Countries citing papers authored by Anna Gumà

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anna Gumà Line = papers co-authored together Anna Gumà links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996329
2 2001203
3 2005157
4 2000148
5 2001105
6 200095
7 199392
8 199578
9 202178
10 199578
11 199769
12 199868
13 199263
14 200960
15 202356
16 200456
17 200354
18 199653
19 202252
20 199952

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 2.9k 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 (758 citations), Hepatology (216 citations), Endocrinology, Diabetes and Metabolism (404 citations), Cell Biology (313 citations) and Molecular Biology (1.3k 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, Antonio Sánchez-Porto, Juan Figueras and Erik Wahlström. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Hormone and Metabolic Research, Breast Cancer Research and Treatment and Endocrinology.

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.

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