Chris Fields

181 papers receiving 8.8k citations

Chris Fields's Hit Papers

Whole-Genome Random Sequencing and Assembly of Haemophilus influenzae Rd 1995 · 4.6k citations
4.6k0+11+22Years since publication10002.0k3.0k4.0k

Peers

Chris Fields
Comparison fields: 5 of 198
  • Microbiology 666
  • Aging 159
  • Molecular Biology 5.8k
  • Genetics 1.5k
  • Endocrinology 273
Replace Michaël Nilges with:
Michaël Nilges France
Alexandr Ignatchenko Canada
Lila M. Gierasch United States
Benjamin Webb United States
Rolf Boelens Netherlands
Noam Shoresh United States
Angela M. Gronenborn United States
Lewis Y. Geer United States
James U. Bowie United States
Eric W. Deutsch United States
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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 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Whole-Genome Random Sequencing and Assembly of Haemophilus influenzae Rd
Hit paper breakdown →
19954564
2
Sequence identification of 2,375 human brain genes
Hit paper breakdown →
1992652
3 1992342
4 1993299
5 1993261
6 1994218
7 1995213
8 2018171
9 1992164
10 2017114
11 201983
12 202283
13 199281
14 199076
15 201573
16 201971
17 198962
18 201958
19 199054
20 202153

About Chris Fields

Chris Fields is a scholar working on Nuclear and High Energy Physics, Cognitive Neuroscience, Radiation, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 195 papers that have together received 9.6k 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), Genomics and Phylogenetic Studies (18 papers), Neural dynamics and brain function (17 papers), Embodied and Extended Cognition (15 papers), RNA and protein synthesis mechanisms (12 papers) and Advanced Thermodynamics and Statistical Mechanics (11 papers). The work is most often cited by research in Microbiology (666 citations), Aging (159 citations), Molecular Biology (5.8k citations), Genetics (1.5k citations) and Endocrinology (273 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, J. Craig Venter and Owen R. White. Their work appears in journals such as Nuclear Physics A, Nature Genetics, Physics Letters B, The European Physical Journal A and Physical Review C.

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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