Joe Hedgpeth

2.0k citations
26 papers · 1.8k · h-index 19

Impact in

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

Papers in

    • Bacterial Genetics and Biotechnology 8
    • 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
    • CRISPR and Genetic Engineering 2

Joe Hedgpeth

26 papers receiving 1.5k citations

Peers

Joe Hedgpeth
Comparison fields: 5 of 105
  • Endocrinology 133
  • Genetics 632
  • Molecular Biology 1.2k
  • Ecology 357
  • Molecular Medicine 66
Replace Michael R. Eckart with:
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Joe Hedgpeth relative to Michael R. Eckart United States Michael R. Eckart's profile →
Citations per field
00.5×1.5×
Michael R. 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 1982184
3 1980179
4 1995170
5 1983136
6 1984136
7 1973122
8 1974111
9 198049
10 201045
11 197941
12 198234
13 199634
14 197833
15 198033
16 201432
17 197529
18 201523
19 196819
20 199018

About Joe Hedgpeth

Joe Hedgpeth is a scholar working on Genetics, Molecular Biology, Ecology, Immunology and Virology, 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 CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Endocrinology (133 citations), Genetics (632 citations), Molecular Biology (1.2k citations), Ecology (357 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 J. Hofnung, Achilles Dugaiczyk, Jean-Marie Clément, Scott D. Emr and Thomas J. Silhavy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, American Journal of Respiratory and Critical Care Medicine, Journal of Neuroimmunology and Anesthesiology.

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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