F.A. Saul

1.5k citations
23 papers · 1.2k · h-index 11

Impact in

Papers in

F.A. Saul

23 papers receiving 1.0k citations

Peers

F.A. Saul
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 615
  • Molecular Biology 918
  • Immunology 256
  • Endocrinology 39
  • Immunology and Allergy 46
Replace A.G. Amit with:
A.G. Amit France
Bradford C. Braden United States
W.R. Tulip Australia
Klaas Decanniere Belgium
G. Boulot France
H. Souchon France
Xavier Ysern United States
Rebecca To Canada
Man Sung Co United States
Walter Palm Austria
F.A. Saul relative to A.G. Amit France A.G. Amit's profile →
Citations per field
00.5×6.5×
A.G. Amit · 1×
Citations per year

Countries citing papers authored by F.A. Saul

Since Specialization
Citations

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

Fields of papers citing papers by F.A. Saul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A. Saul. 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 F.A. Saul. The network helps show where F.A. Saul may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973285
2 1978262
3 1974169
4 1974166
5 2003104
6 200870
7 197519
8 199016
9 197714
10 199711
11 199810
12 197510
13 198410
14 19946
15 20185
16 19973
17 20002
18 19852
19 19852
20
[Epitopes of the envelope of the hepatitis B virus: a structural approach].
19942

About F.A. Saul

F.A. Saul is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Hematology and Infectious Diseases, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Hepatitis B Virus Studies (5 papers), Protein purification and stability (5 papers), Bacteriophages and microbial interactions (2 papers), Blood groups and transfusion (2 papers), Enzyme Structure and Function (2 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (615 citations), Molecular Biology (918 citations), Immunology (256 citations), Endocrinology (39 citations) and Immunology and Allergy (46 citations). F.A. Saul has collaborated with scholars based in France, United States and Poland. Frequent co-authors include Roberto J. Poljak, L. Mario Amzel, R. P. Phizackerley, H. P. AVEY, G.A. Bentley, János Varga, Frank F. Richards, B. Vulliez-Le Normand, Jean‐Philippe Arié and Richard Kahn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Molecular Biology, Proteins Structure Function and Bioinformatics and BMC Veterinary Research.

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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