Dido Lenze

23.2k citations
80 papers · 2.3k · h-index 29

Impact in

Papers in

Dido Lenze

78 papers receiving 2.3k citations

Peers

Dido Lenze
Comparison fields: 5 of 116
  • Cancer Research 549
  • Pathology and Forensic Medicine 444
  • Oncology 562
  • Genetics 209
  • Immunology 363
Replace Qingyun Liu with:
Qingyun Liu China
Stacy W. Blain United States
M Terada United Kingdom
Zhenlin Ju United States
Virginia Valentine United States
Kanji Ishizaki Japan
Yvonne Tsai United States
Michał Marzec United States
Claude Caron de Fromentel France
Richard P. Beckmann United States
Dido Lenze relative to Qingyun Liu China Qingyun Liu's profile →
Citations per field
00.5×4.1×
Qingyun Liu · 1×
Citations per year

Countries citing papers authored by Dido Lenze

Since Specialization
Citations

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

Fields of papers citing papers by Dido Lenze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013201
2 2015103
3 201195
4 201089
5 201086
6 201183
7 201280
8 201178
9 201172
10 201168
11 200462
12 200762
13 200461
14 201259
15 199956
16 201651
17 201047
18 201443
19 201141
20 200138

About Dido Lenze

Dido Lenze is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Lung Cancer Treatments and Mutations (10 papers), Cancer Genomics and Diagnostics (9 papers), Viral-associated cancers and disorders (7 papers), Veterinary Oncology Research (5 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (5 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Cancer Research (549 citations), Pathology and Forensic Medicine (444 citations), Oncology (562 citations), Genetics (209 citations) and Immunology (363 citations). Dido Lenze has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Michael Hummel, Achim D. Gruber, Robert Klopfleisch, Claus Schnarrenberger, Bernd Dörken, Volkhard Seitz, Manfred Dietel, Maximilian von Laffert, Harald Stein and Georg Lenz. Their work appears in journals such as Blood, Haematologica, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Experimental and Molecular Pathology and BMC Cancer.

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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