Manuela Heßmann

759 citations
6 papers · 433 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 2
    • Immune cells in cancer 2
    • interferon and immune responses 1
    • Immunotherapy and Immune Responses 1
    • Influenza Virus Research Studies 1

Manuela Heßmann

6 papers receiving 428 citations

Peers

Manuela Heßmann
Comparison fields: 5 of 68
  • Immunology 201
  • Epidemiology 159
  • Infectious Diseases 52
  • Biological Psychiatry 6
  • Pharmacology 19
Replace Laura Visconti with:
Laura Visconti Italy
Shuangjie Li China
Bruno Caetano Trindade United States
Ulf Alexander Wenzel Sweden
Maurizio Vacca Singapore
Nichole Escalante Canada
Makoto Nakasato Japan
Eiji Kasumi Japan
Tohti Amet United States
Chelsea Gerada Australia
Manuela Heßmann relative to Laura Visconti Italy Laura Visconti's profile →
Citations per field
00.5×1.5×2.1×
Laura Visconti · 1×
Citations per year

Countries citing papers authored by Manuela Heßmann

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Heßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2009170
2 2013153
3 200651
4 200637
5 201712
6 201010

About Manuela Heßmann

Manuela Heßmann is a scholar working on Immunology, Epidemiology, Biological Psychiatry, Genetics and Infectious Diseases, having authored 6 papers that have together received 433 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), Immune cells in cancer (2 papers), interferon and immune responses (1 paper), Tryptophan and brain disorders (1 paper), Influenza Virus Research Studies (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (201 citations), Epidemiology (159 citations), Infectious Diseases (52 citations), Biological Psychiatry (6 citations) and Pharmacology (19 citations). Manuela Heßmann has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include H. Sann, Angelika Hoffmeyer, Robert Geffers, Dunja Bruder, Klaus Schughart, Achim D. Gruber, Barkha Srivastava, Paulina Błażejewska, Susanne Mauel and Christoph Hölscher. Their work appears in journals such as Immunobiology, Frontiers in Immunology, European Journal of Immunology, Life Sciences and PLoS ONE.

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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