Gerald M. Fuller

98 papers receiving 6.1k citations

Gerald M. Fuller's Hit Papers

IL-6 and Its Soluble Receptor Orchestrate a Temporal Switch in the Pattern of Leukocyte Recruitment Seen during Acute Inflammation 2001 · 672 citations
6720+8+16Years since publication200400600

Peers

Gerald M. Fuller
Comparison fields: 5 of 138
  • Immunology 1.6k
  • Behavioral Neuroscience 239
  • Immunology and Allergy 260
  • Oncology 1.1k
  • Cell Biology 737
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Heinz Baumann United States
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Citations per field
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Citations per year

Countries citing papers authored by Gerald M. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Gerald M. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald M. Fuller. 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 Gerald M. Fuller. The network helps show where Gerald M. Fuller may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IL-6 and Its Soluble Receptor Orchestrate a Temporal Switch in the Pattern of Leukocyte Recruitment Seen during Acute Inflammation
Hit paper breakdown →
2001672
2
The soluble interleukin 6 receptor: mechanisms of production and implications in disease
Hit paper breakdown →
2001521
3 1985402
4 1986321
5 1995306
6 1990280
7 1995230
8 1975228
9 1997199
10 1983171
11 1999160
12 1982106
13 197498
14 198698
15 199594
16 200190
17 200488
18 198786
19 198582
20 197678

About Gerald M. Fuller

Gerald M. Fuller is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Physiology and Immunology, having authored 98 papers that have together received 6.5k indexed citations. Recurring topics across this work include Blood properties and coagulation (33 papers), Cytokine Signaling Pathways and Interactions (22 papers), Erythrocyte Function and Pathophysiology (17 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Immune Response and Inflammation (12 papers), Pancreatic function and diabetes (7 papers), NF-κB Signaling Pathways (7 papers) and Liver physiology and pathology (6 papers). The work is most often cited by research in Immunology (1.6k citations), Behavioral Neuroscience (239 citations), Immunology and Allergy (260 citations), Oncology (1.1k citations) and Cell Biology (737 citations). Gerald M. Fuller has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Sankichi Horiuchi, Naoki Yamamoto, Simon A. Jones, David G. Ritchie, Nicholas Topley, Zhixin Zhang, B.M.R.N.J. Woloski, Paul H. Weigel, Nelson Fuentes and Robert D. LeBœuf. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemistry, Annals of the New York Academy of Sciences, Journal of Biological Chemistry and Blood.

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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