John M. Adams

5.2k citations
148 papers · 3.7k indexed · 1 hit paper · h-index 32
Topics
Diabetes Treatment and Management (33 papers)Metabolism, Diabetes, and Cancer (23 papers)Pancreatic function and diabetes (21 papers)
Partner nations
United StatesItalyQatar

In The Last Decade

John M. Adams

141 papers receiving 3.4k citations

Hit Papers

Ceramide Content Is Increased in Skeletal Muscle From Obe...20042026201120182004100200300400500

Peers

John M. Adams
Comparison fields: 5 of 176
  • Molecular Biology 1.1k
  • Epidemiology 729
  • Endocrinology, Diabetes and Metabolism 706
  • Surgery 628
  • Physiology 575
Replace Peter Reed with:
Peter Reed New Zealand
Antonio Simone Laganà Italy
Maria das Graçãs Carvalho Ferriani Brazil
Michael Harrison United Kingdom
David M. Lee United States
Patricia Lee United States
Burton D. Clark United States
Willem A. Kamps Netherlands
Ozren Polašek Croatia
Michael Katz United States
John M. Adams relative to Peter Reed New Zealand Peter Reed's profile →
Citations per field
00.5×1.5×2.3×
Peter Reed · 1×
Citations per year

Countries citing papers authored by John M. Adams

Since Specialization
Citations

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

Fields of papers citing papers by John M. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Adams. A scholar is included among the top collaborators of John M. Adams 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 John M. Adams. John M. Adams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 10
4 2
5 29
6 119
7
VIRUS-P: A Powerful Integral Field Spectrograph Designed For Replication
0
8 25
9 9
10 49
11 18
12 12
13 60
14 49
15 25
16 16
17 3
18
Viruses and colds : the modern plague
3
19 2
20 9

About John M. Adams

John M. Adams is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Infectious Diseases, having authored 148 papers that have together received 3.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (33 papers), Metabolism, Diabetes, and Cancer (23 papers) and Pancreatic function and diabetes (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (706 citations), Physiology (575 citations) and Epidemiology (729 citations). John M. Adams has collaborated with scholars based in United States, Italy and Qatar. Frequent co-authors include Ralph A. DeFronzo, William Hart, Thongchai Pratipanawatr, Lawrence J. Mandarino, Rachele Berria, Curtis Triplitt, Elaine Wang, M. Cameron Sullards, Eugênio Cersósimo and K. Alex Burton. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

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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