Jonathan Bard

5.7k citations
72 papers · 4.9k · h-index 31

Impact in

Papers in

Jonathan Bard

68 papers receiving 4.7k citations

Peers

Jonathan Bard
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 2.4k
  • Endocrine and Autonomic Systems 321
  • Molecular Biology 2.7k
  • Physiology 867
  • Computational Theory and Mathematics 546
Replace Evi Kostenis with:
Evi Kostenis Germany
Andrew B. Tobin United Kingdom
Marco Daniele Parenti Italy
Jeffrey M. Stadel United States
Antonio V Ferrer-Montiel Spain
Tung Ming Fong United States
Jonathan D. Violin United States
Francisco G. Wandosell Spain
Fang Zheng United States
Su‐Ying Wu Taiwan
Jonathan Bard relative to Evi Kostenis Germany Evi Kostenis's profile →
Citations per field
00.5×1.5×
Evi Kostenis · 1×
Citations per year

Countries citing papers authored by Jonathan Bard

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Bard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004573
2 1993459
3 1995346
4 1994320
5 1996275
6 1993255
7 1998233
8 1995220
9 2019173
10 1997164
11 2009137
12 2008127
13 2009123
14 2009107
15 200692
16 199489
17 199881
18 201473
19 200759
20 200756

About Jonathan Bard

Jonathan Bard is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Computational Theory and Mathematics and Neurology, having authored 72 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (21 papers), Receptor Mechanisms and Signaling (18 papers), Alzheimer's disease research and treatments (17 papers), Computational Drug Discovery Methods (13 papers), Mitochondrial Function and Pathology (13 papers), Neurological disorders and treatments (11 papers), Neuropeptides and Animal Physiology (10 papers) and Cholinesterase and Neurodegenerative Diseases (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Endocrine and Autonomic Systems (321 citations), Molecular Biology (2.7k citations), Physiology (867 citations) and Computational Theory and Mathematics (546 citations). Jonathan Bard has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Richard L. Weinshank, Theresa A. Branchek, Nika Adham, T. A. Branchek, Mary W. Walker, Michael S. Malamas, P. J.‐J. VAYSSE, Rebecca A. Cowling, Margaret M. Durkin and John M. Zgombick. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Alzheimer s & Dementia, Journal of Biological Chemistry and Journal of Nuclear Medicine.

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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