Joel Bard

1.7k citations
17 papers · 1.2k · h-index 14

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Bacillus and Francisella bacterial research
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Protein Structure and Dynamics

Papers in

    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • Biochemical and Molecular Research 2
    • Pharmacological Effects of Natural Compounds 2

Joel Bard

17 papers receiving 1.2k citations

Peers

Joel Bard
Comparison fields: 5 of 97
  • Hepatology 117
  • Molecular Biology 748
  • Inorganic Chemistry 126
  • Infectious Diseases 104
  • Genetics 159
Replace Chris Dealwis with:
Chris Dealwis United States
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Dominik Wernic Canada
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Joel Bard relative to Chris Dealwis United States Chris Dealwis's profile →
Citations per field
00.5×3.6×
Chris Dealwis · 1×
Citations per year

Countries citing papers authored by Joel Bard

Since Specialization
Citations

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

Fields of papers citing papers by Joel Bard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002315
2 2004158
3 200097
4 200993
5 200988
6 200887
7 200185
8 200250
9 200948
10 200646
11 201245
12 200738
13 201034
14 201519
15 201212
16 202012
17 20006

About Joel Bard

Joel Bard is a scholar working on Molecular Biology, Pharmacology, Genetics, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Hepatitis C virus research (2 papers), RNA Research and Splicing (2 papers), Hormonal Regulation and Hypertension (2 papers), Pharmacological Effects of Natural Compounds (2 papers), RNA and protein synthesis mechanisms (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Hepatology (117 citations), Molecular Biology (748 citations), Inorganic Chemistry (126 citations), Infectious Diseases (104 citations) and Genetics (159 citations). Joel Bard has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Andrew Bohm, Alberto Di Donato, Stephen J. Lippard, Matthew H. Sazinsky, Shui-Zhong Yan, Dan Lü, Zenon Grabarek, Chester Lee Drum, Yuequan Shen and Sandriyana Soelaiman. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Developmental Cell and ChemMedChem.

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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