Eva Hug

960 citations
13 papers · 729 · h-index 12

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5
    • Chronic Lymphocytic Leukemia Research 1
    • T-cell and B-cell Immunology 7

Eva Hug

13 papers receiving 722 citations

Peers

Eva Hug
Comparison fields: 5 of 41
  • Genetics 233
  • Immunology 313
  • Hematology 35
  • Pathology and Forensic Medicine 37
  • Molecular Biology 125
Replace Hina S. Maniar with:
Hina S. Maniar United States
Ifigènia Saborit-Villarroya Spain
Luciene Borges United States
S. Scott Perry United States
Brice Laffleur France
Ángel F. Álvarez-Prado Spain
Hadas Lewinsky Israel
Jinhong Wang China
Nouran S. Abdelfattah United States
Valérie Schiavon France
Eva Hug relative to Hina S. Maniar United States Hina S. Maniar's profile →
Citations per field
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Hina S. Maniar · 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

13 of 13 papers shown
#Work
1 2008132
2 2015110
3 200897
4 201985
5 201960
6 201256
7 201550
8 201938
9 201830
10 202224
11 201321
12 202115
13 201311

About Eva Hug

Eva Hug is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Hematology and Cancer Research, having authored 13 papers that have together received 729 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), FOXO transcription factor regulation (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Platelet Disorders and Treatments (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Genetics (233 citations), Immunology (313 citations), Hematology (35 citations), Pathology and Forensic Medicine (37 citations) and Molecular Biology (125 citations). Eva Hug has collaborated with scholars based in Germany, Austria and Belgium. Frequent co-authors include Hassan Jumaa, Michael G. Reth, Sonja Meixlsperger, Sebastian Herzog, Elias Hobeika, Ji-Hye Paik, Ronald Anthony DePinho, Fabian Köhler, Thomas Wossning and Hedda Wardemann. Their work appears in journals such as Blood, Nature Immunology, American Journal of Hematology, The Journal of Immunology and Leukemia.

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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