Eva Hug

930 citations
11 papers · 473 · h-index 9

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4
    • FOXO transcription factor regulation 2

Eva Hug

9 papers receiving 466 citations

Peers

Eva Hug
Comparison fields: 5 of 52
  • Immunology 307
  • Genetics 90
  • Hematology 60
  • Radiology, Nuclear Medicine and Imaging 54
  • Pathology and Forensic Medicine 38
Replace Inbal Binsky with:
Inbal Binsky Israel
Dorottya Kövesdi Hungary
Diane Razanajaona France
Dana M. Farmer United States
Steve Licence United Kingdom
Paula Savola Finland
K.‐P. Nera Finland
Azzah Al Masri United States
Antje van Lessen Germany
Nadine Kutsch Germany
Eva Hug relative to Inbal Binsky Israel Inbal Binsky's profile →
Citations per field
00.5×1.5×
Inbal Binsky · 1×
Citations per year

Countries citing papers authored by Eva Hug

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2008127
2 201599
3 200894
4 201253
5 201934
6 201827
7 201317
8 201311
9 202110
10 20041
11 20200

About Eva Hug

Eva Hug is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 11 papers that have together received 473 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), FOXO transcription factor regulation (2 papers), Lymphoma Diagnosis and Treatment (2 papers), CAR-T cell therapy research (2 papers), Education Methods and Technologies (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Immunology (307 citations), Genetics (90 citations), Hematology (60 citations), Radiology, Nuclear Medicine and Imaging (54 citations) and Pathology and Forensic Medicine (38 citations). Eva Hug has collaborated with scholars based in Germany, Austria and Egypt. Frequent co-authors include Hassan Jumaa, Sonja Meixlsperger, Michael Reth, Sebastian Herzog, Elias Hobeika, Ronald A. DePinho, Ji-Hye Paik, Fabian Köhler, Thomas Wossning and Hedda Wardemann. Their work appears in journals such as Nature Immunology, The Journal of Immunology, Blood, American Journal of Hematology and Cell Reports.

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.

Explore authors with similar magnitude of impact