Julia Pollmann

497 citations
11 papers · 354 indexed · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • IL-33, ST2, and ILC Pathways
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis

Papers in

    • Hepatitis C virus research 2
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 2

Julia Pollmann

11 papers receiving 351 citations

Peers

Julia Pollmann
Comparison fields: 5 of 68
  • Immunology 235
  • Oncology 99
  • Epidemiology 91
  • Modeling and Simulation 9
  • Virology 9
Replace Shoji Yokochi with:
Shoji Yokochi Japan
Jan Lašťovička Czechia
Clive R.D. Carter United Kingdom
Karoline W. Schjetne Norway
Gianfranco Di Genova United Kingdom
E. Bridie Day Australia
Raul Louzao United States
Tatjana Scholz Germany
S.G. Williams United Kingdom
Colin Thalhofer United States
Julia Pollmann relative to Shoji Yokochi Japan Shoji Yokochi's profile →
Citations per field
00.5×2.7×
Shoji Yokochi · 1×
Citations per year

Countries citing papers authored by Julia Pollmann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Pollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014150
2 201642
3 201841
4 201338
5 201717
6 202115
7 201715
8 201714
9 202210
10 20207
11 20205

About Julia Pollmann

Julia Pollmann is a scholar working on Hepatology, Immunology, Modeling and Simulation, Parasitology and Epidemiology, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (3 papers), Hepatitis C virus research (2 papers), T-cell and B-cell Immunology (2 papers), Viral Infections and Vectors (2 papers), Mosquito-borne diseases and control (2 papers), Protein Degradation and Inhibitors (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Immunology (235 citations), Oncology (99 citations), Epidemiology (91 citations), Modeling and Simulation (9 citations) and Virology (9 citations). Julia Pollmann has collaborated with scholars based in Germany, Ethiopia and Belgium. Frequent co-authors include Adelheid Cerwenka, Alexander Rölle, Vu Thuy Khanh Le‐Trilling, Anne Halenius, Hartmut Hengel, Johannes Notni, Hans‐Jürgen Wester, Dominik Reich, Alexander Wurzer and Alexander Schmidt. Their work appears in journals such as PLoS Pathogens, EPJ Data Science, Journal of Hepatology, Chemical Communications and Molecular Pharmaceutics.

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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