Steve Fuller

1.2k citations
20 papers · 879 · h-index 11

Impact in

Papers in

Steve Fuller

19 papers receiving 845 citations

Peers

Steve Fuller
Comparison fields: 5 of 87
  • Infectious Diseases 419
  • Microbiology 124
  • Clinical Biochemistry 78
  • Molecular Medicine 46
  • Endocrinology 32
Replace Minako Araake with:
Minako Araake Japan
Matthias Grundmeier Germany
M. Campa Italy
Anna Gołda Poland
Cristina Russo Italy
Barbara S. Reisner United States
Amity L. Roberts United States
Gayathri Arakere India
Alejandro Gómez-Mejía Switzerland
H. Pruul Australia
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Citations per field
00.5×3.6×
Minako Araake · 1×
Citations per year

Countries citing papers authored by Steve Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Steve Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002355
2 2003133
3 200474
4 199465
5 200561
6 199340
7 201736
8 198322
9 201919
10 199218
11 198817
12 19899
13 19859
14 20215
15
An accelerated enzyme immunoassay for human choriogonadotropin in urine, involving reflow of specimen through capillary tubes.
19875
16 19874
17 19963
18 20182
19
Studies on inhibition of β-amyloid formation in APP-751-transfected IMR-32 cells, and SPA4CT-transfected SHSY5Y cells
19972
20 19960

About Steve Fuller

Steve Fuller is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Physiology, having authored 20 papers that have together received 879 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Pneumonia and Respiratory Infections (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Syphilis Diagnosis and Treatment (2 papers), Peptidase Inhibition and Analysis (2 papers), Adolescent and Pediatric Healthcare (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Infectious Diseases (419 citations), Microbiology (124 citations), Clinical Biochemistry (78 citations), Molecular Medicine (46 citations) and Endocrinology (32 citations). Steve Fuller has collaborated with scholars based in United States, Vietnam and Cameroon. Frequent co-authors include Gary Horwith, Robert Naso, Ali Fattom, Larry R. Muenz, Rachel Schneerson, Juan Antonio Ordóñez Pereda, Steven Black, Harry Alcorn, John B. Robbins and Henry R. Shinefield. Their work appears in journals such as Vaccine, Journal of Clinical Microbiology, Neurobiology of Aging, Cancer Letters and Clinical Chemistry.

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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