Over Cabrera

4.4k citations
28 papers · 3.0k indexed · 2 hit papers · h-index 19

Over Cabrera

27 papers receiving 3.0k citations

Hit Papers

LY3298176, a novel dual GIP and G...6032006202620122019250500750

Peers

Over Cabrera
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Surgery 2.1k
  • Genetics 1.1k
  • Pharmacology 421
  • Physiology 94
Replace Melissa K. Thomas with:
Melissa K. Thomas United States
Quan Zhang United Kingdom
Gil Leibowitz Israel
C. F. Gotfredsen Denmark
Gabriela da Silva Xavier United Kingdom
Isabelle Leclerc United Kingdom
Kathleen C. Zawalich United States
Corentin Cras‐Méneur United States
David A. Jacobson United States
Robert G. Tsushima Canada
Over Cabrera relative to Melissa K. Thomas United States Melissa K. Thomas's profile →
Citations per field
00.5×1.5×2.3×
Melissa K. Thomas · 1×
Citations per year

Countries citing papers authored by Over Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Over Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202123
3 20212
4 202012
5
LY3298176, a novel dual GIP and GLP-1 receptor agonist for the treatment of type 2 diabetes mellitus: From discovery to clinical proof of conceptbreakdown →
2018603
6 201818
7 201610
8 201648
9 201418
10 201294
11 201166
12 2010167
13 2008170
14 2008208
15 200766
16 200750
17
The unique cytoarchitecture of human pancreatic islets has implications for islet cell functionbreakdown →
2006938
18 2005173
19 200580
20 200358

About Over Cabrera

Over Cabrera is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 28 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Diabetes and associated disorders (10 papers), Diabetes Treatment and Management (9 papers), Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Adenosine and Purinergic Signaling (3 papers), Receptor Mechanisms and Signaling (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Surgery (2.1k citations) and Genetics (1.1k citations). Over Cabrera has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Camillo Ricordi, Per‐Olof Berggren, Alejandro Caicedo, Norma S. Kenyon, Dora M. Berman, Antonello Pileggi, R. Damaris Molano, Kyle W. Sloop, Jorge Alsina‐Fernandez and Corina Loghin. Their work appears in journals such as Diabetes, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular Metabolism and Transplantation.

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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