Tim Demuth

4.6k citations
44 papers · 3.4k · h-index 25

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

    • Melanoma and MAPK Pathways 5
    • Colorectal Cancer Treatments and Studies 6
    • Cancer Treatment and Pharmacology 6
    • Cancer-related Molecular Pathways 5

Tim Demuth

44 papers receiving 3.4k citations

Peers

Tim Demuth
Comparison fields: 5 of 109
  • Genetics 610
  • Oncology 1.1k
  • Modeling and Simulation 193
  • Cancer Research 577
  • Cell Biology 545
Replace Christine E. Eyler with:
Christine E. Eyler United States
Leila Akkari United States
Akitake Mukasa Japan
Motoo Nagane Japan
Tatsuya Ozawa Japan
Katrin Lamszus Germany
Sergey V. Kozin United States
Do‐Hyun Nam South Korea
Jörg C. Tonn Germany
Margaret Leversha United States
Tim Demuth relative to Christine E. Eyler United States Christine E. Eyler's profile →
Citations per field
00.5×4.6×
Christine E. Eyler · 1×
Citations per year

Countries citing papers authored by Tim Demuth

Since Specialization
Citations

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

Fields of papers citing papers by Tim Demuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004443
2 2007331
3 2007308
4 2012266
5 2011220
6 2016199
7 2006199
8 2001164
9 2011140
10 2003134
11 2013105
12 200799
13 201193
14 200986
15 201685
16 201280
17 201269
18 200857
19 200749
20 201442

About Tim Demuth

Tim Demuth is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Colorectal Cancer Treatments and Studies (6 papers), Cancer Treatment and Pharmacology (6 papers), Melanoma and MAPK Pathways (5 papers), Cancer-related Molecular Pathways (5 papers), Lung Cancer Treatments and Mutations (5 papers), Microtubule and mitosis dynamics (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Genetics (610 citations), Oncology (1.1k citations), Modeling and Simulation (193 citations), Cancer Research (577 citations) and Cell Biology (545 citations). Tim Demuth has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Michael E. Berens, Dominique B. Hoelzinger, Mitsutoshi Nakada, Satoko Nakada, Nhan L. Tran, Stuart D. Shumway, Christian Beaudry, Leonard M. Sander, Andrew M. Stein and David L. Mobley. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal of Neuro-Oncology, Annals of Oncology and Molecular Cancer Therapeutics.

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