Richard Moriggl

16.3k citations
176 papers · 10.2k indexed · h-index 57

Impact in

  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 0.5%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cytokine Signaling Pathways and Interactions 82
    • Immune Cell Function and Interaction 21
    • T-cell and B-cell Immunology 13

Richard Moriggl

168 papers receiving 10.1k citations

Peers

Richard Moriggl
Comparison fields: 5 of 132
  • Immunology 3.5k
  • Oncology 4.4k
  • Hematology 1.6k
  • Genetics 1.3k
  • Cancer Research 1.4k
Replace David A. Frank with:
David A. Frank United States
Veronika Sexl Austria
Bruce A. Witthuhn United States
Andrius Kazlauskas United States
Olli Silvennoinen Finland
Gerald Krystal Canada
Koichi Nakajima Japan
Philippe Bouillet Australia
Iris Behrmann Germany
Thomas J. Gonda Australia
Richard Moriggl relative to David A. Frank United States David A. Frank's profile →
Citations per field
00.5×1.5×2.5×
David A. Frank · 1×
Citations per year

Countries citing papers authored by Richard Moriggl

Since Specialization
Citations

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

Fields of papers citing papers by Richard Moriggl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20244
4 202310
5 20232
6 202262
7 20214
8 20216
9 202129
10 2020214
11 20184
12 201724
13 2016123
14 2009170
15 200957
16 200960
17 200858
18 2007471
19 2006168
20 1996247

About Richard Moriggl

Richard Moriggl is a scholar working on Oncology, Immunology, Hematology, Genetics and Cancer Research, having authored 176 papers that have together received 10.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (82 papers), Chronic Myeloid Leukemia Treatments (24 papers), Immune Cell Function and Interaction (21 papers), NF-κB Signaling Pathways (18 papers), Chronic Lymphocytic Leukemia Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), T-cell and B-cell Immunology (13 papers) and Acute Myeloid Leukemia Research (12 papers). The work is most often cited by research in Immunology (3.5k citations), Oncology (4.4k citations), Hematology (1.6k citations), Genetics (1.3k citations) and Cancer Research (1.4k citations). Richard Moriggl has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Veronika Sexl, James N. Ihle, Hartmut Beug, Kevin D. Bunting, Peter Valent, Lothar Hennighausen, Bernd Groner, Karlheinz Friedrich, Lukas Kenner and Marc A. Kerenyi. Their work appears in journals such as Blood, Cancers, Oncotarget, Oncogene and Cytokine.

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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