Marco Gerlinger

58 papers receiving 2.3k citations

Peers

Marco Gerlinger
Comparison fields: 5 of 108
  • Cancer Research 1.2k
  • Oncology 955
  • Modeling and Simulation 123
  • Pulmonary and Respiratory Medicine 647
  • Pathology and Forensic Medicine 290
Replace Emi Sei with:
Emi Sei United States
Mihoko Kamiyama United States
Gavin Ha United States
Rebecca A. Burrell United Kingdom
Rebecca Leary United States
Mary E. Edgerton United States
Thomas G. Paulson United States
Oscar Krijgsman Netherlands
Nava Almog United States
Hege G. Russnes Norway
Marco Gerlinger relative to Emi Sei United States Emi Sei's profile →
Citations per field
00.5×10×14×
Emi Sei · 1×
Citations per year

Countries citing papers authored by Marco Gerlinger

Since Specialization
Citations

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

Fields of papers citing papers by Marco Gerlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012381
2 2010325
3 2016172
4 2014130
5 2014126
6 201099
7 201991
8 201289
9 201487
10 200580
11 201374
12 201066
13 201363
14 201451
15 201448
16 201746
17 202044
18 202043
19 201734
20 201628

About Marco Gerlinger

Marco Gerlinger is a scholar working on Cancer Research, Modeling and Simulation, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (29 papers), Genetic factors in colorectal cancer (14 papers), Colorectal Cancer Treatments and Studies (13 papers), Gastric Cancer Management and Outcomes (12 papers), Renal cell carcinoma treatment (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Esophageal Cancer Research and Treatment (6 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (955 citations), Modeling and Simulation (123 citations), Pulmonary and Respiratory Medicine (647 citations) and Pathology and Forensic Medicine (290 citations). Marco Gerlinger has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Charles Swanton, Lajos Pusztai, Timothy A. Yap, P. Andrew Futreal, Louise J. Barber, Matthew N. Davies, Rebecca A. Burrell, Nicholas McGranahan, Naureen Starling and Andrea Sottoriva. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, European Journal of Cancer and The Journal of Pathology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026