Jeremy Selengut

19.3k citations
26 papers · 2.6k indexed · 1 hit paper · h-index 17
Topics
Genomics and Phylogenetic Studies (14 papers)RNA and protein synthesis mechanisms (4 papers)Machine Learning in Bioinformatics (3 papers)

In The Last Decade

Jeremy Selengut

26 papers receiving 2.6k citations

Hit Papers

A Guild of 45 CRISPR-Associated (Cas) Protein Families an...20052026201220192005200400600

Peers

Jeremy Selengut
Comparison fields: 5 of 112
  • Molecular Biology 2.0k
  • Ecology 828
  • Genetics 282
  • Plant Science 237
  • Epidemiology 147
Replace Nicola J. Patron with:
Nicola J. Patron United Kingdom
Thorsten Allers United Kingdom
Guadalupe Juez Spain
Lan Yang China
Asaf Levy Israel
Daowen Wang China
Yingjie Zhu China
Yeong Yik Sung Malaysia
Hikmet Budak Türkiye
Jeremy Selengut relative to Nicola J. Patron United Kingdom Nicola J. Patron's profile →
Citations per field
00.5×6.4×
Nicola J. Patron · 1×
Citations per year

Countries citing papers authored by Jeremy Selengut

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Selengut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Selengut

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Selengut. A scholar is included among the top collaborators of Jeremy Selengut based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeremy Selengut. Jeremy Selengut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 37
2 406
3 55
4 17
5 66
6 401
7 12
8 80
9 3
10 88
11 220
12 12
13
A Guild of 45 CRISPR-Associated (Cas) Protein Families and Multiple CRISPR/Cas Subtypes Exist in Prokaryotic Genomesbreakdown →
729
14
eGenomics: Cataloguing our complete genome collection: Meeting Reports
2
15 43
16 205
17 58
18 27
19 1
20 12

About Jeremy Selengut

Jeremy Selengut is a scholar working on Molecular Biology, Biotechnology and Ecology, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Business and International Management (66 citations), Ecology (828 citations) and Molecular Biology (2.0k citations). Jeremy Selengut has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Daniel H. Haft, William Nelson, Emmanuel F. Mongodin, R. Alexander Richter, Malay Kumar Basu, Derek M. Harkins, Erin Beck, Owen White, Douglas B. Rusch and Arthi Ganapathy. Their work appears in journals such as Nature, Nucleic Acids Research and Bioinformatics.

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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