Thomas Moritz

4.1k citations
91 papers · 2.8k · h-index 27

Impact in

Papers in

    • CRISPR and Genetic Engineering 18
    • Pluripotent Stem Cells Research 14
    • RNA Interference and Gene Delivery 10
    • Renal and related cancers 8
    • Virus-based gene therapy research 16
    • Chronic Lymphocytic Leukemia Research 9

Thomas Moritz

86 papers receiving 2.8k citations

Peers

Thomas Moritz
Comparison fields: 5 of 122
  • Immunology 616
  • Hematology 241
  • Biochemistry 155
  • Genetics 197
  • Oncology 393
Replace Irma Dianzani with:
Irma Dianzani Italy
Philmo Oh United States
Patrizia Castellani Italy
Matthew A. Nugent United States
Raanan Margalit Israel
Tony Lahoutte Belgium
Michael J. Mann United States
Sharon L. Aukerman United States
Athina Giannoudis United Kingdom
Laura Conti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Moritz

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Moritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014239
2 2007192
3 2015148
4 1995123
5 2018118
6 201491
7 198990
8 199783
9 200880
10 202079
11 201173
12 201669
13 201567
14 201366
15 201557
16 199555
17 201854
18 199154
19 199253
20 199351

About Thomas Moritz

Thomas Moritz is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Hematology, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), Virus-based gene therapy research (16 papers), Pluripotent Stem Cells Research (14 papers), RNA Interference and Gene Delivery (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Neonatal Respiratory Health Research (9 papers) and Renal and related cancers (8 papers). The work is most often cited by research in Immunology (616 citations), Hematology (241 citations), Biochemistry (155 citations), Genetics (197 citations) and Oncology (393 citations). Thomas Moritz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Nico Lachmann, Axel Schambach, Mania Ackermann, Helmut Wagentristl, Sabine Baumgartner, J. Vollmann, W. Widdra, Tobias Cantz, Nils Pfaff and N. Niederle. Their work appears in journals such as Gene Therapy, Cancer Immunology Immunotherapy, Metabolism, Surface Science and Biomaterials.

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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