Lars Pache

21.2k citations
27 papers · 9.9k indexed · 1 hit paper · h-index 18

Lars Pache

27 papers receiving 9.9k citations

Hit Papers

Metascape provides a biologist-oriented resource for the ...8.7k20192026202120232.5k5.0k7.5k

Peers

Lars Pache
Comparison fields: 5 of 157
  • Cancer Research 1.6k
  • Immunology 1.7k
  • Molecular Biology 5.5k
  • Biological Psychiatry 165
  • Virology 279
Replace Yingyao Zhou with:
Yingyao Zhou United States
Max W. Chang United States
Sumit K. Chanda United States
Michael C. Bassik United States
Qiaonan Duan United States
Glynn Dennis United States
Gian María Fimia Italy
Douglas A Hosack United States
Zichen Wang United States
Alexander Lachmann United States
Lars Pache relative to Yingyao Zhou United States Yingyao Zhou's profile →
Citations per field
00.5×1.5×
Yingyao Zhou · 1×
Citations per year

Countries citing papers authored by Lars Pache

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Lars Pache Line = papers co-authored together Lars Pache links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202434
2 20243
3 20243
4 202322
5 20238
6 20237
7 202038
8 201953
9
Metascape provides a biologist-oriented resource for the analysis of systems-level datasetsbreakdown →
20198740
10 201814
11 2018281
12 201817
13 2015107
14 201411
15 201217
16 201162
17 201028
18 200876
19 200622
20 2004150

About Lars Pache

Lars Pache is a scholar working on Virology, Infectious Diseases, Immunology, Physiology and Modeling and Simulation, having authored 27 papers that have together received 9.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Virus-based gene therapy research (6 papers), Bioinformatics and Genomic Networks (4 papers), Herpesvirus Infections and Treatments (4 papers), HIV/AIDS drug development and treatment (4 papers), Viral gastroenteritis research and epidemiology (3 papers), interferon and immune responses (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Immunology (1.7k citations), Molecular Biology (5.5k citations), Biological Psychiatry (165 citations) and Virology (279 citations). Lars Pache has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sumit K. Chanda, Christopher Benner, Max W. Chang, Bin Zhou, Alireza Hadj Khodabakhshi, Yingyao Zhou, Olga Tanaseichuk, Glen R. Nemerow, Tina-Marie Mullen and Eugene Wu. Their work appears in journals such as Journal of Virology, Nature Communications, PLoS Pathogens, Scientific Data and Virology.

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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