Joe Hedgpeth

2.0k citations
26 papers · 1.8k · h-index 20

Impact in

    • Escherichia coli research studies
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 9
    • Lipid Membrane Structure and Behavior 5
    • RNA Interference and Gene Delivery 3
    • DNA and Nucleic Acid Chemistry 3
    • Advanced biosensing and bioanalysis techniques 3
    • Receptor Mechanisms and Signaling 2
    • Bacterial Genetics and Biotechnology 8

Joe Hedgpeth

26 papers receiving 1.5k citations

Peers

Joe Hedgpeth
Comparison fields: 5 of 105
  • Endocrinology 132
  • Genetics 635
  • Molecular Biology 1.2k
  • Ecology 360
  • Molecular Medicine 66
Replace Michael Eckart with:
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Joe Hedgpeth relative to Michael Eckart United States Michael Eckart's profile →
Citations per field
00.5×1.5×
Michael Eckart · 1×
Citations per year

Countries citing papers authored by Joe Hedgpeth

Since Specialization
Citations

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

Fields of papers citing papers by Joe Hedgpeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972303
2 1982182
3 1980180
4 1995169
5 1984135
6 1983135
7 1973122
8 1974108
9 198049
10 197943
11 201039
12 198234
13 199634
14 197833
15 198033
16 201432
17 197530
18 201523
19 199020
20 196820

About Joe Hedgpeth

Joe Hedgpeth is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Epidemiology, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Bacterial Genetics and Biotechnology (8 papers), Lipid Membrane Structure and Behavior (5 papers), Bacteriophages and microbial interactions (5 papers), RNA Interference and Gene Delivery (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrinology (132 citations), Genetics (635 citations), Molecular Biology (1.2k citations), Ecology (360 citations) and Molecular Medicine (66 citations). Joe Hedgpeth has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Herbert W. Boyer, Howard M. Goodman, Werner Goebel, C. Spencer Yost, Vishwanath R. Lingappa, Maurice Hofnung, Achilles Dugaiczyk, Jean-Marie Clément, Thomas J. Silhavy and Scott D. Emr. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Journal of Virology, Journal of Molecular and Cellular Cardiology and Biochemical Pharmacology.

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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