Moritz Gerstung

44.2k citations
55 papers · 5.8k indexed · 6 hit papers · h-index 29

Impact in

Papers in

Moritz Gerstung

53 papers receiving 5.8k citations

Hit Papers

Single-cell and spatial transcriptomics analysis of non-small cell lung cancer 2024 · 64 citations
6420152026201820222505007501000

Peers

Moritz Gerstung
Comparison fields: 5 of 152
  • Cancer Research 2.2k
  • Health Informatics 71
  • Molecular Biology 3.4k
  • Aging 73
  • Oncology 1.1k
Replace Marco Novelli with:
Marco Novelli United Kingdom
Benjamin J. Raphael United States
Rameen Beroukhim United States
Trevor A. Graham United Kingdom
Nicolai J. Birkbak Denmark
James D. Brenton United Kingdom
Nitzan Rosenfeld United Kingdom
Francesca Demichelis United States
Obi L. Griffith United States
Malachi Griffith United States
Moritz Gerstung relative to Marco Novelli United Kingdom Marco Novelli's profile →
Citations per field
00.5×8.3×
Marco Novelli · 1×
Citations per year

Countries citing papers authored by Moritz Gerstung

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Gerstung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20252
3
Single-cell and spatial transcriptomics analysis of non-small cell lung cancer
Hit paper breakdown →
202464
4 202410
5 20246
6 202350
7 20236
8 2022110
9 202225
10
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
Hit paper breakdown →
2022239
11 202218
12 202124
13 2021105
14 20210
15 202077
16
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Hit paper breakdown →
2020367
17 2020106
18 2020137
19 201939
20
High burden and pervasive positive selection of somatic mutations in normal human skin
Hit paper breakdown →
20151123

About Moritz Gerstung

Moritz Gerstung is a scholar working on Cancer Research, Aging, Hematology, Biophysics and Genetics, having authored 55 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (27 papers), Acute Myeloid Leukemia Research (8 papers), Single-cell and spatial transcriptomics (6 papers), DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (5 papers), AI in cancer detection (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Cancer Research (2.2k citations), Health Informatics (71 citations), Molecular Biology (3.4k citations), Aging (73 citations) and Oncology (1.1k citations). Moritz Gerstung has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Peter J. Campbell, Iñigo Martincorena, Peter Van Loo, Michael R. Stratton, Niko Beerenwinkel, Artem Shmatko, Philip H. Jones, Keiran Raine, Kerstin Haase and Helen Davies. Their work appears in journals such as Nature Communications, Nature Genetics, PLoS ONE, Blood and Nature.

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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