F Saal

854 citations
42 papers · 675 indexed · h-index 12

F Saal

39 papers receiving 657 citations

Peers

F Saal
Comparison fields: 5 of 62
  • Agronomy and Crop Science 373
  • Immunology 536
  • Ecology, Evolution, Behavior and Systematics 341
  • Virology 36
  • Dermatology 19
Replace Christian Grant with:
Christian Grant United States
IS Chen United States
Nicholas Polakowski United States
Ken‐ichiro Etoh Japan
Daisuke Kodama Japan
Laurent Dianoux France
Luca Casareto United States
Maria Artesi Belgium
Kerstin Haller United States
Garret C. Newbound United States
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Citations per field
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Citations per year

Countries citing papers authored by F Saal

Since Specialization
Citations

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

Fields of papers citing papers by F Saal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Effects of serotonin and melanin on in vitro HIV-1 infection.
199722
2 199526
3
Functional comparison between HTLV-I envelopes originating from TSP/HAM or ATL cell lines.
19944
4 19923
5
High level of HTLV-I specific protein expression in a patient with adult T-cell leukemia, chronic progressive myelopathy and Kaposi's sarcoma.
19926
6 199110
7 1990201
8 199049
9 199010
10 198921
11 19876
12 198717
13 19841
14 19833
15 198237
16 19793
17
Replication of Mouse Sarcoma Virus (Moloney) and its helper in a human heteroploid cell line of malignant origin.
19772
18
[Immunologic aspects of murine allogeneic tumor growth (author's transl)].
19744
19 19735
20 19734

About F Saal

F Saal is a scholar working on Immunology, Virology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Small Animals, having authored 42 papers that have together received 675 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (17 papers), Animal Disease Management and Epidemiology (7 papers), Virus-based gene therapy research (6 papers), Vector-Borne Animal Diseases (6 papers), HIV Research and Treatment (4 papers), Polyomavirus and related diseases (3 papers), Herpesvirus Infections and Treatments (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (373 citations), Immunology (536 citations), Ecology, Evolution, Behavior and Systematics (341 citations), Virology (36 citations) and Dermatology (19 citations). F Saal has collaborated with scholars based in France, Argentina and United Kingdom. Frequent co-authors include J. Périès, Antoine Gessain, Olivier Gout, Guy de Thé, J Lasneret, F. Semah, Christèle Kandalaft, G Flandrin, MT Daniel and Michel Baulac. Their work appears in journals such as International Journal of Cancer, JNCI Journal of the National Cancer Institute, Journal of General Virology, Archives of Virology 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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