Armin Lahm

5.2k citations
63 papers · 4.1k indexed · h-index 31

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions

Papers in

Armin Lahm

62 papers receiving 3.9k citations

Peers

Armin Lahm
Comparison fields: 5 of 128
  • Hepatology 582
  • Oncology 960
  • Molecular Biology 2.4k
  • Immunology 589
  • Virology 114
Replace George J. Cerniglia with:
George J. Cerniglia United States
Ulrich auf dem Keller Switzerland
Lynne W. Elmore United States
Massimo Derenzini Italy
Guhung Jung South Korea
Robin Antrobus United Kingdom
Dan Grandér Sweden
A L Hubbard United States
Bert Schutte Netherlands
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Armin Lahm relative to George J. Cerniglia United States George J. Cerniglia's profile →
Citations per field
00.5×4.4×
George J. Cerniglia · 1×
Citations per year

Countries citing papers authored by Armin Lahm

Since Specialization
Citations

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

Fields of papers citing papers by Armin Lahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202121
3 20189
4 201726
5 201032
6 2007443
7 20072
8 200681
9 200514
10 20029
11 200110
12 200120
13 200030
14 199826
15 199531
16 19956
17 1992225
18 199223
19 199064
20 1988270

About Armin Lahm

Armin Lahm is a scholar working on Hepatology, Virology, Radiology, Nuclear Medicine and Imaging, Aging and Molecular Biology, having authored 63 papers that have together received 4.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Hepatitis C virus research (10 papers), Cytokine Signaling Pathways and Interactions (7 papers), Glycosylation and Glycoproteins Research (6 papers), Enzyme Structure and Function (6 papers), Immunotherapy and Immune Responses (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Hepatology (582 citations), Oncology (960 citations), Molecular Biology (2.4k citations), Immunology (589 citations) and Virology (114 citations). Armin Lahm has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Dietrich Suck, Anna Tramontano, Christian Oefner, Gennaro Ciliberto, Anne Volbeda, Simon A. Weston, Alfredo Nicosia, Christian Steinkühler, Rocco Savino and Carlo Toniatti. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Journal of Molecular Biology, Journal of Virology and Proteins Structure Function and Bioinformatics.

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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