Christopher M. DaCosta

734 total citations
13 papers, 549 citations indexed

About

Christopher M. DaCosta is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Christopher M. DaCosta has authored 13 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Christopher M. DaCosta's work include Pancreatic function and diabetes (6 papers), Diabetes Treatment and Management (5 papers) and Adipose Tissue and Metabolism (3 papers). Christopher M. DaCosta is often cited by papers focused on Pancreatic function and diabetes (6 papers), Diabetes Treatment and Management (5 papers) and Adipose Tissue and Metabolism (3 papers). Christopher M. DaCosta collaborates with scholars based in United States and United Kingdom. Christopher M. DaCosta's co-authors include Melanie K. Shadoan, Zhi‐Ming Ding, David R. Powell, Faika Mseeh, Melinda Smith, Brian Zambrowicz, Angela L. Harris, Jennifer Greer, Arthur Sands and Peter Vogel and has published in prestigious journals such as Gastroenterology, Molecular and Cellular Biology and Journal of Medicinal Chemistry.

In The Last Decade

Christopher M. DaCosta

13 papers receiving 538 citations

Peers

Christopher M. DaCosta
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 334
  • Molecular Biology 246
  • Surgery 240
  • Physiology 59
  • Genetics 50
Replace Masahiro Hiratochi with:
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Hana E. Baker United States
Amanda Garza United States
Silvia Pomposiello United States
Carol L. Broderick United States
Shigeki Hongo Japan
Haruhisa Yamashita Japan
Hidemitsu Sakagami Japan
M. Dodson Michael United States
Stefan Tschopp Switzerland
Masahiro Hiratochi Japan View profile →
Citations per field, relative to Christopher M. DaCosta
Christopher M. DaCosta · 1×
Citations per year, relative to Christopher M. DaCosta
Christopher M. DaCosta · 1×

Countries citing papers authored by Christopher M. DaCosta

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. DaCosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. DaCosta. 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 Christopher M. DaCosta. The network helps show where Christopher M. DaCosta may publish in the future.

Co-authorship network of co-authors of Christopher M. DaCosta

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. DaCosta. A scholar is included among the top collaborators of Christopher M. DaCosta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher M. DaCosta. Christopher M. DaCosta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1
Mice Lacking Gpr75 are Hypophagic and Thin
15
2 9
3 5
4 9
5 25
6 44
7 14
8 156
9 130
10 26
11 51
12 63
13 2

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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