Max Salm

6.4k citations
13 papers · 4.8k · 4 hit papers · h-index 10

Impact in

Papers in

Max Salm

13 papers receiving 4.7k citations

Max Salm's Hit Papers

Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal 2018 · 487 citations
4870+4+8Years since publication50010001.5k

Peers

Max Salm
Comparison fields: 5 of 104
  • Cancer Research 2.6k
  • Pulmonary and Respiratory Medicine 1.8k
  • Oncology 1.4k
  • Modeling and Simulation 133
  • Pathology and Forensic Medicine 477
Replace Natasha Iles with:
Natasha Iles United Kingdom
Rosalie Anne Fisher United Kingdom
Sebastijan Hobor Italy
Sara Akhavanfard United States
Leticia De Mattos‐Arruda Spain
Laura A. Morsberger United States
Melanie J Irvin-Sellers United Kingdom
Babikir Ismail United Kingdom
Haydn Adams United Kingdom
Mahendran Chetty United Kingdom
Max Salm relative to Natasha Iles United Kingdom Natasha Iles's profile →
Citations per field
00.5×2×4×5.3×
Natasha Iles · 1×
Citations per year

Countries citing papers authored by Max Salm

Since Specialization
Citations

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

Fields of papers citing papers by Max Salm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Tracking the Evolution of Non–Small-Cell Lung Cancer
Hit paper breakdown →
20171770
2
Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing
Hit paper breakdown →
20141011
3
Spatial and temporal diversity in genomic instability processes defines lung cancer evolution
Hit paper breakdown →
2014912
4
Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal
Hit paper breakdown →
2018487
5 2015206
6 2014196
7 201595
8 201923
9 201323
10 201412
11 20248
12 20237
13 20144

About Max Salm

Max Salm is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Oncology, having authored 13 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Renal cell carcinoma treatment (3 papers), vaccines and immunoinformatics approaches (2 papers), RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Lung Cancer Treatments and Mutations (2 papers), Renal and related cancers (2 papers) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (2.6k citations), Pulmonary and Respiratory Medicine (1.8k citations), Oncology (1.4k citations), Modeling and Simulation (133 citations) and Pathology and Forensic Medicine (477 citations). Max Salm has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Charles Swanton, Andrew Rowan, Stuart D. Horswell, Sacheen Kumar, Nima Abbassi‐Ghadi, Daniel Hochhauser, Sharmin Begum, Nirupa Murugaesu, Gareth A. Wilson and Thomas B.K. Watkins. Their work appears in journals such as Genome biology, Nature Genetics, PLoS Biology, Nature Cancer and Science.

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