B. Matz

1.9k citations
66 papers · 1.6k · h-index 23

Impact in

Papers in

    • Herpesvirus Infections and Treatments 24
    • Cytomegalovirus and herpesvirus research 13
    • Hepatitis B Virus Studies 5
    • HIV Research and Treatment 10

B. Matz

64 papers receiving 1.5k citations

Peers

B. Matz
Comparison fields: 5 of 81
  • Hepatology 338
  • Virology 148
  • Epidemiology 996
  • Infectious Diseases 332
  • Genetics 224
Replace Alexandra Valsamakis with:
Alexandra Valsamakis United States
J L Melnick United States
J. Hilfenhaus Germany
K K Young United States
Antonella Folgori Italy
Cristina Giachetti United States
Robert C. Colgrove United States
P. Shawn Mitchell United States
H.T.M. Cuypers Netherlands
Bengt Göran Hansson Sweden
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Citations per field
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Alexandra Valsamakis · 1×
Citations per year

Countries citing papers authored by B. Matz

Since Specialization
Citations

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

Fields of papers citing papers by B. Matz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009157
2 1996130
3 200993
4 200392
5 200581
6 198376
7 200447
8 199945
9 198344
10 200843
11 198443
12 200141
13 198641
14 199930
15 200529
16 200429
17 198228
18 198527
19 199525
20 199624

About B. Matz

B. Matz is a scholar working on Epidemiology, Virology, Genetics, Infectious Diseases and Oncology, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (24 papers), Cytomegalovirus and herpesvirus research (13 papers), Virus-based gene therapy research (12 papers), Hepatitis C virus research (10 papers), HIV Research and Treatment (10 papers), Polyomavirus and related diseases (9 papers), HIV/AIDS drug development and treatment (6 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Hepatology (338 citations), Virology (148 citations), Epidemiology (996 citations), Infectious Diseases (332 citations) and Genetics (224 citations). B. Matz has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jörg R. Schlehofer, Harald zur Hausen, Jean Ndjomou, Anna Maria Eis‐Hübinger, Rolf Kaiser, Oliver G. Pybus, Johannes Blümel, Ulrich Spengler, Rolf M. Flügel and H.‐H. Brackmann. Their work appears in journals such as Journal of General Virology, Journal of Medical Virology, Virology, Journal of Virology and International Journal of Cancer.

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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