Chris Fields

12.2k citations
180 papers · 4.6k · 1 hit paper · h-index 28

Impact in

  • Aging top 2%
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing
    • Planarian Biology and Electrostimulation
    • RNA modifications and cancer

Papers in

Chris Fields

168 papers receiving 4.3k citations

Chris Fields's Hit Papers

Sequence identification of 2,375 human brain genes 1992 · 605 citations
6050+11+22Years since publication200400600

Peers

Chris Fields
Comparison fields: 5 of 177
  • Aging 141
  • Molecular Biology 2.3k
  • Nuclear and High Energy Physics 443
  • Cognitive Neuroscience 557
  • History and Philosophy of Science 106
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Chris Fields relative to Christoph Adami United States Christoph Adami's profile →
Citations per field
00.5×1.5×2.2×
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Countries citing papers authored by Chris Fields

Since Specialization
Citations

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

Fields of papers citing papers by Chris Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sequence identification of 2,375 human brain genes
Hit paper breakdown →
1992605
2 1992339
3 1993272
4 1993245
5 1995196
6 1994190
7 2018155
8 1992149
9 2017109
10 199080
11 201979
12 202277
13 201571
14 199268
15 201967
16 198958
17 201957
18 199048
19 202145
20 202045

About Chris Fields

Chris Fields is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Cognitive Neuroscience, Nuclear and High Energy Physics and Artificial Intelligence, having authored 180 papers that have together received 4.6k indexed citations. Recurring topics across this work include Nuclear physics research studies (36 papers), Quantum Mechanics and Applications (29 papers), Nuclear Physics and Applications (22 papers), Neural dynamics and brain function (15 papers), Genomics and Phylogenetic Studies (14 papers), Embodied and Extended Cognition (14 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Aging (141 citations), Molecular Biology (2.3k citations), Nuclear and High Energy Physics (443 citations), Cognitive Neuroscience (557 citations) and History and Philosophy of Science (106 citations). Chris Fields has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mark D. Adams, Michael Levin, Anthony R. Kerlavage, J. Craig Venter, James F. Glazebrook, Jenny M. Kelley, Mark Dubnick, Teresa R. Utterback, Owen White and J. Craig Venter. Their work appears in journals such as Nuclear Physics A, The European Physical Journal A, Nature Genetics, Physics Letters B and Behavioral and Brain Sciences.

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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