Jared A.M. Bard

1.5k citations
11 papers · 948 · 1 hit paper · h-index 9

Impact in

Papers in

    • RNA Research and Splicing 5
    • Ubiquitin and proteasome pathways 4
    • Heat shock proteins research 4
    • RNA modifications and cancer 3
    • Glycosylation and Glycoproteins Research 2
    • RNA and protein synthesis mechanisms 2
    • Autophagy in Disease and Therapy 3

Jared A.M. Bard

11 papers receiving 942 citations

Jared A.M. Bard's Hit Papers

Structure and Function of the 26S Proteasome 2018 · 587 citations
5870+2+5Years since publication100200300400500

Peers

Jared A.M. Bard
Comparison fields: 5 of 80
  • Cell Biology 219
  • Aging 21
  • Molecular Biology 804
  • Oncology 159
  • Structural Biology 8
Replace G. Collins with:
G. Collins United States
Ellen A. Goodall United States
Anne Schreiber United Kingdom
Stefanie Böhm Sweden
Hongda Huang China
T. Nishimoto Japan
Johannes van den Boom Germany
Armelle Corpet France
Roarke A. Kamber United States
Alison J. Inglis United States
Jared A.M. Bard relative to G. Collins United States G. Collins's profile →
Citations per field
00.5×
G. Collins · 1×
Citations per year

Countries citing papers authored by Jared A.M. Bard

Since Specialization
Citations

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

Fields of papers citing papers by Jared A.M. Bard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jared A.M. 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 Jared A.M. Bard Line = papers co-authored together Jared A.M. Bard links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Structure and Function of the 26S Proteasome
Hit paper breakdown →
2018587
2 2022100
3 201993
4 202271
5 202331
6 202423
7 202414
8 202213
9 201812
10 20253
11 20251

About Jared A.M. Bard

Jared A.M. Bard is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Oncology and Infectious Diseases, having authored 11 papers that have together received 948 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (4 papers), Heat shock proteins research (4 papers), Autophagy in Disease and Therapy (3 papers), RNA modifications and cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cell Biology (219 citations), Aging (21 citations), Molecular Biology (804 citations), Oncology (159 citations) and Structural Biology (8 citations). Jared A.M. Bard has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Andreas Martin, Ken C. Dong, Erik Jönsson, Eric R. Greene, Ellen A. Goodall, D. Allan Drummond, Charlene Bashore, Evgeny V. Pilipenko, Haneul Yoo and Allison H. Squires. Their work appears in journals such as Molecular Cell, Nature Communications, Cell, Annual Review of Biochemistry and Nature Cell Biology.

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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