Markus Uhrberg

5.7k citations
78 papers · 4.3k indexed · 2 hit papers · h-index 33

Impact in

  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immune Cell Function and Interaction 65
    • T-cell and B-cell Immunology 48
    • Reproductive System and Pregnancy 14
    • IL-33, ST2, and ILC Pathways 12
    • Hematopoietic Stem Cell Transplantation 12

Markus Uhrberg

75 papers receiving 4.3k citations

Hit Papers

Human Diversity in Killer Cell Inhibitory Receptor Genes 1997 · 878 citations
8781997202620062016250500750

Peers

Markus Uhrberg
Comparison fields: 5 of 92
  • Immunology 3.8k
  • Hematology 720
  • Oncology 632
  • Genetics 124
  • Virology 52
Replace Koji Tokoyoda with:
Koji Tokoyoda Germany
G A van Seventer United States
Loren D. Erickson United States
Ignazia Prigione Italy
Marı́a L. Toribio Spain
Aharon G. Freud United States
Raffaella Augugliaro Italy
Silvia Parolini Italy
Isabelle André‐Schmutz France
G. Sémana France
Markus Uhrberg relative to Koji Tokoyoda Germany Koji Tokoyoda's profile →
Citations per field
00.5×1.5×1.8×
Koji Tokoyoda · 1×
Citations per year

Countries citing papers authored by Markus Uhrberg

Since Specialization
Citations

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

Fields of papers citing papers by Markus Uhrberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20222
4 202131
5 201919
6 201912
7 201920
8 2015123
9 20155
10 201360
11 201227
12 200938
13 200744
14 200766
15 200652
16 200278
17 2002200
18 2001114
19 2001150
20 200091

About Markus Uhrberg

Markus Uhrberg is a scholar working on Immunology, Hematology, Oncology, Developmental Neuroscience and Cancer Research, having authored 78 papers that have together received 4.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (65 papers), T-cell and B-cell Immunology (48 papers), Reproductive System and Pregnancy (14 papers), IL-33, ST2, and ILC Pathways (12 papers), Hematopoietic Stem Cell Transplantation (12 papers), CAR-T cell therapy research (11 papers), Eosinophilic Esophagitis (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Immunology (3.8k citations), Hematology (720 citations), Oncology (632 citations), Genetics (124 citations) and Virology (52 citations). Markus Uhrberg has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter Parham, Lewis L. Lanier, Nicholas M. Valiante, Heather Shilling, Peter Wernet, Joseph H. Phillips, Benny P. Shum, Angela R. Manser, Brian C. Corliss and Dolly B. Tyan. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Immunogenetics, Blood and Scandinavian Journal of Immunology.

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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