Stan Fields

2.3k citations
17 papers · 2.0k · 1 hit paper · h-index 13

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • Glycosylation and Glycoproteins Research

Papers in

    • Influenza Virus Research Studies 9
    • Respiratory viral infections research 2
    • RNA and protein synthesis mechanisms 10
    • Genomics and Chromatin Dynamics 2

Stan Fields

15 papers receiving 1.7k citations

Stan Fields's Hit Papers

Sequence of chicken ovalbumin mRNA 1978 · 408 citations
4080+16+32Years since publication100200300400

Peers

Stan Fields
Comparison fields: 5 of 94
  • Epidemiology 728
  • Molecular Biology 1.3k
  • Immunology 263
  • Radiology, Nuclear Medicine and Imaging 253
  • Animal Science and Zoology 86
Replace S.R. Martin with:
S.R. Martin United Kingdom
Shirley Su Gillam Canada
E. F. B. FRIES Sweden
Theo A.A. Dopheide Australia
J.N. Varghese Australia
Tsafi Danieli Israel
Peter A. Tulloch Australia
Kiyohisa Mizumoto Japan
Sytske Welling‐Wester Netherlands
Loren D. Schultz United States
Stan Fields relative to S.R. Martin United Kingdom S.R. Martin's profile →
Citations per field
00.5×1.7×
S.R. Martin · 1×
Citations per year

Countries citing papers authored by Stan Fields

Since Specialization
Citations

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

Fields of papers citing papers by Stan Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Sequence of chicken ovalbumin mRNA
Hit paper breakdown →
1978408
2 1980229
3 2007217
4 1981214
5 1981202
6 1999161
7 1982146
8 198197
9 198193
10 198169
11 198254
12 198131
13 201731
14 20053
15 19812
16 19811
17 20011

About Stan Fields

Stan Fields is a scholar working on Epidemiology, Molecular Biology, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging and Aging, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Influenza Virus Research Studies (9 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), interferon and immune responses (2 papers), Respiratory viral infections research (2 papers), Bacteriophages and microbial interactions (2 papers), Genomics and Chromatin Dynamics (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Epidemiology (728 citations), Molecular Biology (1.3k citations), Immunology (263 citations), Radiology, Nuclear Medicine and Imaging (253 citations) and Animal Science and Zoology (86 citations). Stan Fields has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Greg P. Winter, George G. Brownlee, L. McReynolds, John E. Fothergill, A. D. Nisbet, Miranda Robertson, Bert W. O’Malley, David Givol, G.G. Brownlee and Michael John Gait. Their work appears in journals such as Nucleic Acids Research, Nature, Gene, Science and Current Opinion in Chemical Biology.

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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