Lars Pache
Impact in
- Virology top 1%
- HIV Research and Treatment
- Cancer Research top 2%
Papers in
- Virology 12
- HIV Research and Treatment 12
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- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Sumit K. Chanda (15 shared papers)Max W. Chang (5 shared papers)Christopher W. Benner (5 shared papers)Bin Zhou (2 shared papers)Yingyao Zhou (2 shared papers)Alireza Hadj Khodabakhshi (1 shared paper)Olga Tanaseichuk (1 shared paper)Glen R. Nemerow (6 shared papers)
- Journals
- Nature Communications (4 papers)Nature (4 papers)Journal of Virology (4 papers)Cell Host & Microbe (3 papers)Cell (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Lars Pache
38 papers receiving 14.5k citations
Lars Pache's Hit Papers
Peers
Comparison fields: 5 of 144
- Virology 551
- Cancer Research 891
- Molecular Biology 4k
- Immunology 1.1k
- Infectious Diseases 1.1k
Countries citing papers authored by Lars Pache
This map shows the geographic impact of Lars Pache'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 Lars Pache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Pache more than expected).
Fields of papers citing papers by Lars Pache
This network shows the impact of papers produced by Lars Pache. 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 Lars Pache. The network helps show where Lars Pache may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Pache, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metascape provides a biologist-oriented resource for the analysis of systems-level datasets Hit paper breakdown → | 2019 | 10223 |
| 2 | Meta- and Orthogonal Integration of Influenza “OMICs” Data Defines a Role for UBR4 in Virus Budding Hit paper breakdown → | 2015 | 723 |
| 3 | Human host factors required for influenza virus replication Hit paper breakdown → | 2009 | 708 |
| 4 | 2020 | 622 | |
| 5 | Global landscape of HIV–human protein complexes Hit paper breakdown → | 2011 | 608 |
| 6 | 2018 | 318 | |
| 7 | 2021 | 178 | |
| 8 | 2021 | 164 | |
| 9 | 2004 | 150 | |
| 10 | 2003 | 126 | |
| 11 | 2015 | 119 | |
| 12 | 2008 | 90 | |
| 13 | 2011 | 73 | |
| 14 | 2019 | 62 | |
| 15 | 2024 | 51 | |
| 16 | 2017 | 50 | |
| 17 | 2020 | 42 | |
| 18 | 2021 | 40 | |
| 19 | 2023 | 39 | |
| 20 | 2010 | 33 |
About Lars Pache
Lars Pache is a scholar working on Virology, Infectious Diseases, Epidemiology, Genetics and Immunology, having authored 40 papers that have together received 14.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Virus-based gene therapy research (7 papers), Influenza Virus Research Studies (7 papers), interferon and immune responses (5 papers), Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Virology (551 citations), Cancer Research (891 citations), Molecular Biology (4k citations), Immunology (1.1k citations) and Infectious Diseases (1.1k citations). Lars Pache has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sumit K. Chanda, Max W. Chang, Christopher W. Benner, Bin Zhou, Yingyao Zhou, Alireza Hadj Khodabakhshi, Olga Tanaseichuk, Glen R. Nemerow, Phoebe L. Stewart and Eugene Y. Wu. Their work appears in journals such as Nature Communications, Nature, Journal of Virology, Cell Host & Microbe and Cell.
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.