Stan Fields

2.3k citations
15 papers · 1.7k indexed · 2 hit papers · h-index 13

Stan Fields

15 papers receiving 1.5k citations

Hit Papers

Cloning of influenza cDNA into M13: the sequence of the R...2091978202619942010100200300

Peers

Stan Fields
Comparison fields: 5 of 85
  • Epidemiology 621
  • Molecular Biology 1.1k
  • Immunology 246
  • Radiology, Nuclear Medicine and Imaging 214
  • Cell Biology 134
Replace S.R. Martin with:
S.R. Martin United Kingdom
Shirley Gillam Canada
Irene T. Schulze United States
Theo A.A. Dopheide Australia
Kiyohisa Mizumoto Japan
Gary W. Smythers United States
R. Drzeniek Germany
Tsafi Danieli Israel
Jwu‐Sheng Tung United States
P.A. Tulloch Australia
Stan Fields relative to S.R. Martin United Kingdom S.R. Martin's profile →
Citations per field
00.5×1.5×2.1×
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-authorship network

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

15 of 15 papers shown
#Work
1 201725
2 20053
3 2002106
4 20011
5 1999152
6 1982128
7 198244
8 198182
9 198125
10 198163
11 1981168
12 198182
13 1981196
14
Cloning of influenza cDNA into M13: the sequence of the RNA segment encoding the A/PR/8/34 matrix proteinbreakdown →
1980209
15
Sequence of chicken ovalbumin mRNAbreakdown →
1978384

About Stan Fields

Stan Fields is a scholar working on Aging, Epidemiology, Animal Science and Zoology, Molecular Biology and Immunology, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Influenza Virus Research Studies (7 papers), Respiratory viral infections research (2 papers), interferon and immune responses (2 papers), Chromosomal and Genetic Variations (2 papers), Fungal and yeast genetics research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Epidemiology (621 citations), Molecular Biology (1.1k citations), Immunology (246 citations), Radiology, Nuclear Medicine and Imaging (214 citations) and Cell Biology (134 citations). Stan Fields has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Greg Winter, George G. Brownlee, Miranda Robertson, A. D. Nisbet, G.G. Brownlee, L. McReynolds, John E. Fothergill, David Givol, Bert W. O’Malley and Michael J. Gait. Their work appears in journals such as Nucleic Acids Research, Nature, Genes & Development, Gene and Science.

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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