Ulrich Jäger

14.7k total citations · 1 hit paper
172 papers, 5.7k citations indexed

About

Ulrich Jäger is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Ulrich Jäger has authored 172 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Hematology, 54 papers in Oncology and 53 papers in Genetics. Recurrent topics in Ulrich Jäger's work include Acute Myeloid Leukemia Research (38 papers), Lymphoma Diagnosis and Treatment (38 papers) and Chronic Lymphocytic Leukemia Research (37 papers). Ulrich Jäger is often cited by papers focused on Acute Myeloid Leukemia Research (38 papers), Lymphoma Diagnosis and Treatment (38 papers) and Chronic Lymphocytic Leukemia Research (37 papers). Ulrich Jäger collaborates with scholars based in Austria, Germany and United States. Ulrich Jäger's co-authors include Klaus Lechner, Peter Valent, Andreas Chott, Ilse Schwarzinger, Klaus Geißler, Wolfgang R. Sperr, Johannes Drach, Paul Knöbl, Berthold Streubel and Heinz Gisslinger and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Ulrich Jäger

169 papers receiving 5.5k citations

Hit Papers

Diagnosis and treatment of autoimmune hemolytic anemia in... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Ulrich Jäger
Comparison fields: 5 of 129
  • Hematology 2.4k
  • Molecular Biology 1.8k
  • Oncology 1.7k
  • Genetics 1.2k
  • Immunology 1.2k
Replace Bruno Varet with:
Bruno Varet France
Guy Pratt United Kingdom
Martin F. Fey Switzerland
Joseph O. Moore United States
Chris Fegan United Kingdom
Jeffrey Tyner United States
Franco Silvestris Italy
Bronno van der Holt Netherlands
Gary Spitzer United States
Torben Plesner Denmark
Bruno Varet France View profile →
Citations per field, relative to Ulrich Jäger
Ulrich Jäger · 1×
Citations per year, relative to Ulrich Jäger
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Countries citing papers authored by Ulrich Jäger

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Jäger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Jäger

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Jäger. A scholar is included among the top collaborators of Ulrich Jäger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulrich Jäger. Ulrich Jäger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 5
3 11
4 8
5 9
6 100
7 19
8 13
9 6
10 46
11 60
12 27
13 66
14 249
15 93
16 51
17
Monotherapy with the anti-CD20 antibody rituximab (ritux) in patients with post-transplant lympho-proliferative disease (PTLD). Results of a multicentre phase II study.
2
18 0
19 2
20 13

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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