Peter Lischka

2.9k citations
34 papers · 2.3k · h-index 22

Impact in

    • Toxoplasma gondii Research Studies
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • Cytomegalovirus and herpesvirus research 23
    • Herpesvirus Infections and Treatments 17
    • RNA regulation and disease 9
    • Nuclear Structure and Function 7
    • RNA Research and Splicing 7

Peter Lischka

34 papers receiving 2.2k citations

Peers

Peter Lischka
Comparison fields: 5 of 70
  • Parasitology 356
  • Epidemiology 1.9k
  • Virology 224
  • Infectious Diseases 443
  • Oncology 467
Replace Tania Crough with:
Tania Crough Australia
Craig N. Kreklywich United States
Rosalynde J. Finch United States
Anna Skaletskaya United States
Benjamin A. Krishna United Kingdom
Joanne Trgovcich United States
Christina Paulus Germany
Selmir Avdic Australia
Jessica M. Boname United Kingdom
William C. Adams United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Lischka

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lischka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011260
2 2014249
3 2010192
4 2018160
5 2005153
6 2011133
7 2013106
8 200699
9 201193
10 200291
11 201588
12 200184
13 201384
14 200466
15 200865
16 200354
17 201741
18 201533
19 201029
20 200629

About Peter Lischka

Peter Lischka is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Virology and Immunology, having authored 34 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (23 papers), Herpesvirus Infections and Treatments (17 papers), RNA regulation and disease (9 papers), Nuclear Structure and Function (7 papers), RNA Research and Splicing (7 papers), HIV Research and Treatment (5 papers), Parvovirus B19 Infection Studies (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Parasitology (356 citations), Epidemiology (1.9k citations), Virology (224 citations), Infectious Diseases (443 citations) and Oncology (467 citations). Peter Lischka has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Holger Zimmermann, Helga Ruebsamen‐Schaeff, Thomas Goldner, Thomas Stamminger, Guy Hewlett, Nicole Ettischer, Helga Rübsamen‐Schaeff, Susanne Stoelben, Detlef Michel and Manfred Marschall. Their work appears in journals such as Antiviral Research, Journal of Virology, Antimicrobial Agents and Chemotherapy, Viruses and Molecular and Cellular Biology.

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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