Roberto Mota

414 citations
16 papers · 233 · h-index 7

Impact in

Papers in

    • Muscle Physiology and Disorders 3
    • Signaling Pathways in Disease 1
    • Atherosclerosis and Cardiovascular Diseases 4
    • Galectins and Cancer Biology 1

Roberto Mota

15 papers receiving 233 citations

Peers

Roberto Mota
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 88
  • Clinical Biochemistry 12
  • Biophysics 10
  • Internal Medicine 6
  • Physiology 7
Replace HuSheng Qian with:
HuSheng Qian United States
Emeli Chatterjee United States
David Cheung Canada
Koichi Tomaru Japan
Hitoshi Takenaka Japan
Katharina Bottermann Germany
Giusy Lombardo Italy
Ji‐Peng Zhou China
Xin Zhong China
P-F Li China
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Citations per year

Countries citing papers authored by Roberto Mota

Since Specialization
Citations

This map shows the geographic impact of Roberto Mota'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 Roberto Mota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Mota more than expected).

Fields of papers citing papers by Roberto Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Mota. 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 Roberto Mota. The network helps show where Roberto Mota may publish in the future.

Co-authors

The 25 scholars most cited alongside Roberto Mota, 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 Roberto Mota Line = papers co-authored together Roberto Mota links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201992
2 202043
3 202428
4 202020
5 201816
6 20189
7 20187
8 20216
9 20233
10 20223
11 20232
12 20241
13 20201
14 20221
15 20201
16 20250

About Roberto Mota

Roberto Mota is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 16 papers that have together received 233 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (4 papers), Protease and Inhibitor Mechanisms (3 papers), Muscle Physiology and Disorders (3 papers), Advanced Glycation End Products research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cancer Treatment and Pharmacology (1 paper), Signaling Pathways in Disease (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (88 citations), Clinical Biochemistry (12 citations), Biophysics (10 citations), Internal Medicine (6 citations) and Physiology (7 citations). Roberto Mota has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Edward Moreira Bahnson, Monte S. Willis, Traci L. Parry, Ju Youn Beak, Ralph B. D’Agostino, David Brown, Wei Huang, Melissa C. Caughey, W. Gregory Hundley and Jennifer H. Jordan. Their work appears in journals such as Current Pathobiology Reports, American Journal Of Pathology, The FASEB Journal, Circulation Heart Failure and Arteriosclerosis Thrombosis and Vascular Biology.

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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