Daniel J. Bernard

5.6k citations
145 papers · 3.9k · h-index 36

Impact in

Papers in

Daniel J. Bernard

139 papers receiving 3.9k citations

Peers

Daniel J. Bernard
Comparison fields: 5 of 116
  • Developmental Biology 710
  • Reproductive Medicine 590
  • Endocrinology, Diabetes and Metabolism 759
  • Ecology, Evolution, Behavior and Systematics 726
  • Molecular Biology 1.8k
Replace Yuichiro Itoh with:
Yuichiro Itoh United States
Motoshi Kikuchi Japan
Horacio Merchant‐Larios Mexico
Shigeharu Wakana Japan
Ulrich Zechner Germany
Fredrick W. George United States
H. M. Charlton United Kingdom
G. Chieffi Italy
Jonathan Lindzey United States
Susan E. Taymans United States
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Citations per field
00.5×7.0×
Yuichiro Itoh · 1×
Citations per year

Countries citing papers authored by Daniel J. Bernard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999159
2 2009127
3 2004126
4 2004124
5 2007120
6 2010111
7 201783
8 199780
9 200076
10 200176
11 200875
12 199672
13 200972
14 200268
15 201466
16 200665
17 199764
18 199561
19 199560
20 200658

About Daniel J. Bernard

Daniel J. Bernard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 145 papers that have together received 3.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (55 papers), Growth Hormone and Insulin-like Growth Factors (33 papers), Kruppel-like factors research (32 papers), Reproductive Biology and Fertility (25 papers), Animal Vocal Communication and Behavior (16 papers), Hypothalamic control of reproductive hormones (14 papers), Thyroid Disorders and Treatments (14 papers) and Animal Behavior and Reproduction (11 papers). The work is most often cited by research in Developmental Biology (710 citations), Reproductive Medicine (590 citations), Endocrinology, Diabetes and Metabolism (759 citations), Ecology, Evolution, Behavior and Systematics (726 citations) and Molecular Biology (1.8k citations). Daniel J. Bernard has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Gregory F. Ball, Pankaj Lamba, Jérôme Fortin, Ying Wang, Teresa K. Woodruff, Stella Tran, Fred W. Turek, Jacques Balthazart, Ulrich Boehm and Xiang Zhou. Their work appears in journals such as Endocrinology, Molecular Endocrinology, Biology of Reproduction, Journal of Endocrinology and Cellular Signalling.

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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