Jared T. Hammill

1.2k citations
22 papers · 856 · h-index 14

Impact in

    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Chemical Synthesis and Analysis
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
  • Biophysics top 10%

Papers in

Jared T. Hammill

22 papers receiving 853 citations

Peers

Jared T. Hammill
Comparison fields: 5 of 82
  • Molecular Biology 592
  • Biophysics 44
  • Organic Chemistry 182
  • Pharmaceutical Science 34
  • Spectroscopy 85
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Susan E. Cellitti United States
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Citations per field
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Citations per year

Countries citing papers authored by Jared T. Hammill

Since Specialization
Citations

This map shows the geographic impact of Jared T. Hammill'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 T. Hammill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared T. Hammill more than expected).

Fields of papers citing papers by Jared T. Hammill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared T. Hammill. 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 T. Hammill. The network helps show where Jared T. Hammill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007181
2 2007130
3 2009116
4 201085
5 201351
6 201847
7 201835
8 201730
9 201930
10 201021
11 201220
12 201715
13 202015
14 201014
15 202113
16 202110
17 202110
18 202110
19 20239
20 20208

About Jared T. Hammill

Jared T. Hammill is a scholar working on Molecular Biology, Organic Chemistry, Public Health, Environmental and Occupational Health, Oncology and Epidemiology, having authored 22 papers that have together received 856 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Malaria Research and Control (4 papers), RNA and protein synthesis mechanisms (4 papers), Synthesis and Biological Evaluation (4 papers), Trypanosoma species research and implications (3 papers), Computational Drug Discovery Methods (3 papers), Research on Leishmaniasis Studies (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Molecular Biology (592 citations), Biophysics (44 citations), Organic Chemistry (182 citations), Pharmaceutical Science (34 citations) and Spectroscopy (85 citations). Jared T. Hammill has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Ryan A. Mehl, Shigeki J. Miyake‐Stoner, Jennifer L. Hazen, R. Kiplin Guy, Jennifer C. Peeler, Peter Wipf, Andrew M. Miller, Kenneth R. Hess, Scott H. Brewer and Jessica L. Keffer. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Biochemistry and Nature Protocols.

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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