Jan Mous

4.3k total citations
66 papers, 3.6k citations indexed

About

Jan Mous is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Jan Mous has authored 66 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 24 papers in Virology and 15 papers in Infectious Diseases. Recurrent topics in Jan Mous's work include HIV Research and Treatment (24 papers), HIV/AIDS drug development and treatment (15 papers) and Mass Spectrometry Techniques and Applications (11 papers). Jan Mous is often cited by papers focused on HIV Research and Treatment (24 papers), HIV/AIDS drug development and treatment (15 papers) and Mass Spectrometry Techniques and Applications (11 papers). Jan Mous collaborates with scholars based in Switzerland, Belgium and United Kingdom. Jan Mous's co-authors include Helmut Jacobsen, Ralf Bartenschlager, S F Le Grice, Walter Heyns, Roland C. Wilhelm, Wilfried Rombauts, Octavian Schatz, John Mills, I. B. R. Duncan and Ulrich Certa and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Jan Mous

66 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Mous Switzerland 29 1.4k 1.3k 1.2k 912 814 66 3.6k
Ray Sánchez-Pescador United States 27 1.7k 1.2× 576 0.5× 737 0.6× 757 0.8× 1.1k 1.4× 33 4.4k
Bahige M. Baroudy United States 37 1.2k 0.8× 1.7k 1.4× 1.8k 1.5× 1.2k 1.3× 1.1k 1.3× 65 4.3k
Amy K. Patick United States 38 2.5k 1.8× 2.3k 1.8× 1.5k 1.2× 587 0.6× 1.3k 1.5× 74 6.3k
Glenn Randall United States 36 2.6k 1.8× 1.2k 1.0× 667 0.5× 1.5k 1.7× 2.4k 2.9× 66 6.9k
Michael G. Cordingley Canada 33 1.5k 1.1× 385 0.3× 347 0.3× 325 0.4× 1.0k 1.3× 56 3.2k
Lenora J. Davis United States 18 2.1k 1.4× 1.0k 0.8× 988 0.8× 237 0.3× 190 0.2× 24 3.7k
D W McCourt United States 28 1.2k 0.8× 537 0.4× 208 0.2× 1.1k 1.2× 894 1.1× 41 3.4k
R V Srinivas United States 25 729 0.5× 1.0k 0.8× 911 0.7× 118 0.1× 568 0.7× 58 2.4k
Hideki Aizaki Japan 42 1.7k 1.2× 700 0.6× 489 0.4× 3.3k 3.6× 2.9k 3.6× 113 5.5k
Xiaoyun Wu United States 29 2.4k 1.7× 2.1k 1.6× 3.7k 3.0× 295 0.3× 1.1k 1.3× 51 6.1k

Countries citing papers authored by Jan Mous

Since Specialization
Citations

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

Fields of papers citing papers by Jan Mous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Mous

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Mous. A scholar is included among the top collaborators of Jan Mous based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Mous. Jan Mous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Ravinder, Camille Malosse, Joanne Davies, et al.. (2020). Using gold nanoparticles for enhanced intradermal delivery of poorly soluble auto-antigenic peptides. Nanomedicine Nanotechnology Biology and Medicine. 32. 102321–102321. 15 indexed citations
2.
Certa, Ulrich, Antoine de Saizieu, & Jan Mous. (2003). Hybridization Analysis of Labeled RNA by Oligonucleotide Arrays. Humana Press eBooks. 170. 141–156. 4 indexed citations
3.
Dubnau, Josh, Ulrich Certa, Clemens Broger, et al.. (2001). Functional genomics of long-term memory. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 25. 1313. 1 indexed citations
4.
Jacobsen, Helmut, S. Galpin, Lucy Dorrell, et al.. (1997). Emergence of resistant variants of HIV in vivo during monotherapy with the proteinase inhibitor saquinavir. Journal of Antimicrobial Chemotherapy. 39(6). 771–779. 27 indexed citations
5.
Schmid, Georg H., et al.. (1997). Evaluation of hepatitis C virus envelope proteins expressed in E. coli and insect cells for use as tools for antibody screening. Journal of Hepatology. 26(6). 1179–1186. 22 indexed citations
6.
7.
Jacobsen, Helmut, et al.. (1996). Tumor Necrosis Factor Receptor p55 Mediates Induction of HIV Type 1 Expression in Chronically Infected U1 Cells. AIDS Research and Human Retroviruses. 12(3). 199–204. 9 indexed citations
8.
Schmid, Georg H., et al.. (1996). Purification and in vitro-phospholabeling of secretory envelope proteins E1 and E2 of hepatitis C virus expressed in insect cells. Virus Research. 45(1). 45–57. 22 indexed citations
9.
Jacobsen, Helmut, Michael Ott, I. B. R. Duncan, et al.. (1996). Reduced sensitivity to saquinavir: an update on genotyping from phase I/II trials. Antiviral Research. 29(1). 95–97. 18 indexed citations
10.
Jacobsen, Helmut, Michael Ott, I. B. R. Duncan, et al.. (1996). In Vivo Resistance to a Human Immunodeficiency Virus Type 1 Proteinase Inhibitor: Mutations, Kinetics, and Frequencies. The Journal of Infectious Diseases. 173(6). 1379–1387. 147 indexed citations
11.
Jacobsen, Helmut, et al.. (1995). Characterization of human immunodeficiency virus type 1 mutantswith decreased sensitivity to proteinase inhibitor Ro 31-8959. Virology. 206(1). 527–534. 173 indexed citations
12.
Bouffard, Pascal, et al.. (1995). An in Vitro Assay for Hepatitis C Virus NS3 Serine Proteinase. Virology. 209(1). 52–59. 25 indexed citations
13.
Lindemann, Dirk, et al.. (1994). Severe immunodeficiency associated with a human immunodeficiency virus 1 NEF/3'-long terminal repeat transgene.. The Journal of Experimental Medicine. 179(3). 797–807. 72 indexed citations
14.
Depledge, Paul, Stephen K. Wrigley, Jan Mous, et al.. (1993). CD4-binding compounds: An assay to detect new classes of immunopharmacological agents. International Journal of Immunopharmacology. 15(3). 361–369. 4 indexed citations
15.
Wilhelm, Roland C., et al.. (1992). Identification of amino acid residues critical for endonuclease and integration activities of HIV-1 IN protein in Vitro. Virology. 188(2). 459–468. 187 indexed citations
16.
Stieger, Martin, et al.. (1991). Competitive polymerase chain reaction assay for quantitation of HIV-1 DNA and RNA. Journal of Virological Methods. 34(2). 149–160. 49 indexed citations
17.
Sauermann, Ulrike, et al.. (1990). Molecular Cloning and Characterization of a German HIV-1 Isolate. AIDS Research and Human Retroviruses. 6(6). 813–823. 29 indexed citations
18.
Kirchhoff, Frank, et al.. (1990). Genomic divergence of an HIV-2 from a German AIDS patient probably infected in Mali. AIDS. 4(9). 847–858. 18 indexed citations
19.
Moritz, Dirk, et al.. (1990). CD4‐affinity purification of recombinant and native HIV gp 120 and comparison of the affinity constants for the receptor. FEBS Letters. 275(1-2). 146–150. 4 indexed citations
20.
Heyns, Walter, et al.. (1981). Prostatic binding protein and its hormonal regulation.. PubMed. 75A. 339–50. 5 indexed citations

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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