M. Alt

10 papers receiving 446 citations

Peers

M. Alt
Comparison fields: 5 of 45
  • Agronomy and Crop Science 197
  • Immunology 281
  • Ecology, Evolution, Behavior and Systematics 190
  • Hepatology 62
  • Epidemiology 109
Replace Takayuki Nitta with:
Takayuki Nitta United States
BRIAN HJELLE United States
Ulrich D. Kadolsky United Kingdom
Francisco Santiago United States
Grant Feuer United States
Eliane Foulon France
Joko Imai Japan
Benjy J.Y. Tan Japan
Yasuko Sagara Japan
Anne‐Sophie Gabet France
M. Alt relative to Takayuki Nitta United States Takayuki Nitta's profile →
Citations per field
00.5×2×4×6×8.9×
Takayuki Nitta · 1×
Citations per year

Countries citing papers authored by M. Alt

Since Specialization
Citations

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

Fields of papers citing papers by M. Alt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside M. Alt, 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 M. Alt Line = papers co-authored together M. Alt links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1992287
2
Hepatitis C virus infection as a major risk factor for hepatocellular carcinoma.
199663
3 199154
4 199718
5 199516
6
Resistance of human fibroblasts to c-fos mediated transformation.
199312
7 199512
8
[Comparison of EBL cells and ELISA in the culture and serological diagnosis of rhinitis atrophicans in swine].
19931
9 19971
10
[Clarithromycin-digoxin: an unrecognized interaction in some patients].
19971

About M. Alt

M. Alt is a scholar working on Hepatology, Cardiology and Cardiovascular Medicine, Microbiology, Oncology and Biochemistry, having authored 10 papers that have together received 465 indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Viral Infections and Immunology Research (2 papers), Microbial infections and disease research (1 paper), Animal Virus Infections Studies (1 paper), T-cell and Retrovirus Studies (1 paper), RNA regulation and disease (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Agronomy and Crop Science (197 citations), Immunology (281 citations), Ecology, Evolution, Behavior and Systematics (190 citations), Hepatology (62 citations) and Epidemiology (109 citations). M. Alt has collaborated with scholars based in Germany. Frequent co-authors include Ralph Grassmann, Bernhard Fleckenstein, Wolfgang Helmut Caselmann, Susanne Berchtold, Urban Ramstedt, William A. Haseltine, Joseph Sodroski, Erich Platzer, PETER HANS HOFSCHNEIDER and Gustav Paumgartner. Their work appears in journals such as Journal of General Virology, Archives of Virology, European Journal of Gastroenterology & Hepatology, Journal of Virology and Hepatology.

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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