C Mottola

896 citations
16 papers · 763 · h-index 11

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 5
    • Ion channel regulation and function 2
    • Lipid Membrane Structure and Behavior 2
    • ATP Synthase and ATPases Research 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Pancreatic function and diabetes 5

C Mottola

16 papers receiving 709 citations

Peers

C Mottola
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 312
  • Molecular Biology 548
  • Cell Biology 99
  • Physiology 26
  • Immunology and Allergy 29
Replace Gilbert Pommier with:
Gilbert Pommier France
Ellen Holm Nielsen Denmark
Kenzo Kaneko Japan
Chee-Wai Woon United States
Prabakaran Kesavan United States
Ward Coats United States
Hiroki Hirai Japan
Kerstin Dehne Germany
Nel C. Moore United Kingdom
Harvie L. Sims United States
C Mottola relative to Gilbert Pommier France Gilbert Pommier's profile →
Citations per field
00.5×1.5×
Gilbert Pommier · 1×
Citations per year

Countries citing papers authored by C Mottola

Since Specialization
Citations

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

Fields of papers citing papers by C Mottola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside C Mottola, 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 C Mottola Line = papers co-authored together C Mottola links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1984124
2 1985112
3 1984105
4 198699
5 198290
6 198656
7 198640
8 197938
9 198032
10 197930
11 198010
12 19859
13 19798
14 19826
15 19803
16 19831

About C Mottola

C Mottola is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Immunology, having authored 16 papers that have together received 763 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Ion channel regulation and function (2 papers), Lipid Membrane Structure and Behavior (2 papers), ATP Synthase and ATPases Research (2 papers), Complement system in diseases (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (312 citations), Molecular Biology (548 citations), Cell Biology (99 citations), Physiology (26 citations) and Immunology and Allergy (29 citations). C Mottola has collaborated with scholars based in Italy and United States. Frequent co-authors include Michael Czech, D Romeo, Brenda S. Kelly, Joan Massagué, Y. Oka, Catherine Oppenheimer, Claudio Schneider, Renato Gennaro, Richard G. MacDonald and Domenico Romeo. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, European Journal of Biochemistry, The Journal of Cell Biology and Cell Calcium.

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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