J. D. Baird

2.0k citations
65 papers · 1.6k · h-index 22

Impact in

Papers in

J. D. Baird

63 papers receiving 1.5k citations

Peers

J. D. Baird
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 524
  • Equine 49
  • Genetics 614
  • Surgery 724
  • Immunology 239
Replace A. Ederveen with:
A. Ederveen Netherlands
Teruhiro Nakada Japan
Arvi Kahri Finland
Denis A. Magoffin United States
Desirée Schumann Switzerland
A. Abramovici Israel
Shiva Reddy New Zealand
María Susana Theas Argentina
J M Ketelslegers Belgium
J. M. Pell United Kingdom
J. D. Baird relative to A. Ederveen Netherlands A. Ederveen's profile →
Citations per field
00.5×3.7×
A. Ederveen · 1×
Citations per year

Countries citing papers authored by J. D. Baird

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. D. Baird. 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 J. D. Baird. The network helps show where J. D. Baird may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997192
2 1992116
3 1991112
4 198892
5 198579
6 199656
7 197349
8 198548
9 199545
10 198943
11 196033
12 198832
13 199832
14 198132
15 197728
16 199726
17
Equine exertional rhabdomyolysis
198425
18 198625
19 198125
20 195624

About J. D. Baird

J. D. Baird is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Physiology and Molecular Biology, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), Pancreatic function and diabetes (18 papers), Diabetes Management and Research (12 papers), Birth, Development, and Health (6 papers), Adipose Tissue and Metabolism (6 papers), Diabetes Treatment and Management (5 papers), Diet and metabolism studies (5 papers) and Gestational Diabetes Research and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (524 citations), Equine (49 citations), Genetics (614 citations), Surgery (724 citations) and Immunology (239 citations). J. D. Baird has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Anne Cooke, Adrian J. Bone, M. McIntyre, Martin Waterfall, Della Cole, Robert J. Walker, J. P. Ashby, B.M. Dean, L. J. P. Duncan and R. J. Walker. Their work appears in journals such as Diabetes, Diabetologia, Journal of Endocrinology, Proceedings of The Nutrition Society and European Journal of Endocrinology.

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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