Timo Gaiser

10.2k citations
134 papers · 3.8k · 2 hit papers · h-index 28

Impact in

  • Oncology top 2%
    • Colorectal Cancer Screening and Detection
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

Timo Gaiser

131 papers receiving 3.7k citations

Timo Gaiser's Hit Papers

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study 2019 · 643 citations
6430+3+6Years since publication200400600

Peers

Timo Gaiser
Comparison fields: 5 of 131
  • Oncology 1.2k
  • Health Informatics 56
  • Cancer Research 527
  • Radiology, Nuclear Medicine and Imaging 727
  • Gastroenterology 143
Replace Shumpei Ishikawa with:
Shumpei Ishikawa Japan
Esther Herpel Germany
Niels Halama Germany
Toby C. Cornish United States
Heike I. Grabsch United Kingdom
Julien Caldéraro France
Karin A. Oien United Kingdom
Mohammad Ilyas United Kingdom
Stephen Yip Canada
Ryuji Hamamoto Japan
Timo Gaiser relative to Shumpei Ishikawa Japan Shumpei Ishikawa's profile →
Citations per field
00.5×3.2×
Shumpei Ishikawa · 1×
Citations per year

Countries citing papers authored by Timo Gaiser

Since Specialization
Citations

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

Fields of papers citing papers by Timo Gaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Hit paper breakdown →
2019643
2
Multi-class texture analysis in colorectal cancer histology
Hit paper breakdown →
2016336
3 2010232
4 2018204
5 2013137
6 201096
7 200793
8 201276
9 201775
10 200974
11 200969
12 201362
13 202062
14 202158
15 200954
16 201850
17 202147
18 201944
19 201842
20 200242

About Timo Gaiser

Timo Gaiser is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 134 papers that have together received 3.8k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (22 papers), Cancer Genomics and Diagnostics (14 papers), Genetic factors in colorectal cancer (14 papers), HER2/EGFR in Cancer Research (11 papers), Esophageal Cancer Research and Treatment (10 papers), AI in cancer detection (9 papers), Sarcoma Diagnosis and Treatment (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). The work is most often cited by research in Oncology (1.2k citations), Health Informatics (56 citations), Cancer Research (527 citations), Radiology, Nuclear Medicine and Imaging (727 citations) and Gastroenterology (143 citations). Timo Gaiser has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Markus D. Siegelin, Alexander Marx, Jakob Nikolas Kather, Cleo‐Aron Weis, Antje Habel, Daniela Hirsch, Susanne Melchers, Esther Herpel, Niels Halama and Michael Hoffmeister. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, International Journal of Cancer, Oncotarget and European Journal of 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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