Jonathan Bard

2.2k citations
61 papers · 1.6k · h-index 22

Impact in

Papers in

    • Single-cell and spatial transcriptomics 4
    • CRISPR and Genetic Engineering 4
    • Cancer-related molecular mechanisms research 4
    • Cancer Genomics and Diagnostics 3

Jonathan Bard

59 papers receiving 1.6k citations

Peers

Jonathan Bard
Comparison fields: 5 of 126
  • Gastroenterology 190
  • Sensory Systems 117
  • Molecular Biology 894
  • Cancer Research 133
  • Infectious Diseases 143
Replace François Gerbe with:
François Gerbe France
Grace Burgin United States
Kelli L. VanDussen United States
Leyla V. Valenick United States
Sigrid E.M. Heinsbroek United Kingdom
Christopher R. Erwin United States
Detlef Neumann Germany
Susanne Heinzel Australia
Pascale Alard United States
Jefferson E. Vallance United States
Jonathan Bard relative to François Gerbe France François Gerbe's profile →
Citations per field
00.5×2×2.8×
François Gerbe · 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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014313
2 2011164
3 202095
4 201873
5 201467
6 201462
7 202152
8 201247
9 201946
10 201646
11 201640
12 201537
13 199231
14 201229
15 201729
16 201827
17 201226
18 201825
19 202125
20 202025

About Jonathan Bard

Jonathan Bard is a scholar working on Molecular Biology, Cancer Research, Immunology, Sensory Systems and Epidemiology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (5 papers), Immune cells in cancer (4 papers), Single-cell and spatial transcriptomics (4 papers), Trypanosoma species research and implications (4 papers), Immune Cell Function and Interaction (4 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Gastroenterology (190 citations), Sensory Systems (117 citations), Molecular Biology (894 citations), Cancer Research (133 citations) and Infectious Diseases (143 citations). Jonathan Bard has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Michael Buck, Wensheng Liu, Eamonn M.M. Quigley, Susan S. Baker, Razan H. Alkhouri, Robert D. Baker, Lixin Zhu, Donald Albert Yergeau, Patrice François and Guido Memmi. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Journal of Dental Research, PLoS ONE and Aging.

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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