John Huddleston

39.3k total citations · 4 hit papers
40 papers, 7.8k citations indexed

About

John Huddleston is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, John Huddleston has authored 40 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Genetics and 15 papers in Plant Science. Recurrent topics in John Huddleston's work include Genomics and Phylogenetic Studies (16 papers), Chromosomal and Genetic Variations (14 papers) and Influenza Virus Research Studies (11 papers). John Huddleston is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Chromosomal and Genetic Variations (14 papers) and Influenza Virus Research Studies (11 papers). John Huddleston collaborates with scholars based in United States, Italy and Switzerland. John Huddleston's co-authors include Evan E. Eichler, Jonas Korlach, Stephen W. Turner, Chen-Shan Chin, James Drake, Alicia Clum, Cheryl Heiner, Patrick Marks, Alex Copeland and David H. Alexander and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John Huddleston

38 papers receiving 7.7k citations

Hit Papers

Nonhybrid, finished microbial genome assemblies from long... 2013 2026 2017 2021 2013 2018 2020 2014 1000 2.0k 3.0k

Peers

John Huddleston
Comparison fields: 5 of 160
  • Molecular Biology 4.4k
  • Infectious Diseases 2.2k
  • Plant Science 1.6k
  • Genetics 1.4k
  • Ecology 1.1k
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Citations per field, relative to John Huddleston
John Huddleston · 1×
Citations per year, relative to John Huddleston
John Huddleston · 1×

Countries citing papers authored by John Huddleston

Since Specialization
Citations

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

Fields of papers citing papers by John Huddleston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Huddleston

This figure shows the co-authorship network connecting the top 25 collaborators of John Huddleston. A scholar is included among the top collaborators of John Huddleston 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 John Huddleston. John Huddleston 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
# Work Indexed citations
1 0
2 1
3 1
4 4
5 56
6 19
7 108
8 40
9 24
10 117
11
Nextstrain: real-time tracking of pathogen evolution breakdown →
1714
12 29
13 218
14 235
15 20
16 179
17 106
18 10
19
Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data breakdown →
3105
20 154

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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