Lars Pache
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Immunology top 2%
Papers in
-
- Bioinformatics and Genomic Networks 4
- Virology 10
- HIV Research and Treatment 9
- Co-authors
- Sumit K. Chanda (14 shared papers)Max W. Chang (5 shared papers)Christopher Benner (5 shared papers)Yingyao Zhou (2 shared papers)Bin Zhou (2 shared papers)Olga Tanaseichuk (1 shared paper)Alireza Hadj Khodabakhshi (1 shared paper)Glen R. Nemerow (6 shared papers)
- Journals
- Journal of Virology (4 papers)Nature Communications (3 papers)Virology (2 papers)PLoS Pathogens (2 papers)Scientific Data (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Lars Pache
27 papers receiving 10.3k citations
Lars Pache's Hit Papers
Peers
Comparison fields: 5 of 155
- Cancer Research 1.2k
- Immunology 1.4k
- Molecular Biology 4.7k
- Virology 271
- Aging 91
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 27 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 | 9106 |
| 2 | 2018 | 287 | |
| 3 | 2004 | 151 | |
| 4 | 2003 | 124 | |
| 5 | 2015 | 110 | |
| 6 | 2008 | 78 | |
| 7 | 2011 | 62 | |
| 8 | 2019 | 56 | |
| 9 | 2024 | 38 | |
| 10 | 2020 | 38 | |
| 11 | 2008 | 33 | |
| 12 | 2010 | 28 | |
| 13 | 2008 | 25 | |
| 14 | 2014 | 24 | |
| 15 | 2023 | 22 | |
| 16 | 2006 | 22 | |
| 17 | 2018 | 18 | |
| 18 | 2012 | 18 | |
| 19 | 2018 | 14 | |
| 20 | 2014 | 11 |
About Lars Pache
Lars Pache is a scholar working on Molecular Biology, Virology, Infectious Diseases, Immunology and Epidemiology, having authored 27 papers that have together received 10.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Virus-based gene therapy research (6 papers), HIV/AIDS drug development and treatment (4 papers), Bioinformatics and Genomic Networks (4 papers), interferon and immune responses (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Herpesvirus Infections and Treatments (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology (1.4k citations), Molecular Biology (4.7k citations), Virology (271 citations) and Aging (91 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 Benner, Yingyao Zhou, Bin Zhou, Olga Tanaseichuk, Alireza Hadj Khodabakhshi, Glen R. Nemerow, Eugene Wu and Tina-Marie Mullen. Their work appears in journals such as Journal of Virology, Nature Communications, Virology, PLoS Pathogens and Scientific Data.
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.