John C. Timmer

1.4k citations
14 papers · 1.1k indexed · h-index 9

Impact in

Papers in

John C. Timmer

14 papers receiving 1.1k citations

Peers

John C. Timmer
Comparison fields: 5 of 89
  • Molecular Biology 733
  • Immunology 205
  • Oncology 222
  • Cancer Research 108
  • Spectroscopy 114
Replace Maria Hernandez-Valladares with:
Maria Hernandez-Valladares Norway
Morten Beck Trelle Denmark
L. Tong United Kingdom
Joshua L. Andersen United States
Paul Tawa United States
Malgorzata Broncel United Kingdom
Crina I.A. Balog Netherlands
Nemone Muster United States
David C. Trudgian United Kingdom
Sheng Gu United States
John C. Timmer relative to Maria Hernandez-Valladares Norway Maria Hernandez-Valladares's profile →
Citations per field
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Maria Hernandez-Valladares · 1×
Citations per year

Countries citing papers authored by John C. Timmer

Since Specialization
Citations

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

Fields of papers citing papers by John C. Timmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Timmer. 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 John C. Timmer. The network helps show where John C. Timmer may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20235
2 202129
3 20211
4 20211
5 20218
6 201574
7 201116
8 2009109
9 2008138
10 2007125
11 200773
12 2006315
13 2006223
14 19901

About John C. Timmer

John C. Timmer is a scholar working on Immunology, Immunology and Allergy, Microbiology, Oncology and Cell Biology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Machine Learning in Bioinformatics (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Immune Cell Function and Interaction (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Cell death mechanisms and regulation (2 papers), Streptococcal Infections and Treatments (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Molecular Biology (733 citations), Immunology (205 citations), Oncology (222 citations), Cancer Research (108 citations) and Spectroscopy (114 citations). John C. Timmer has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Guy S. Salvesen, Cristina Pop, Sabina Sperandio, Alexey M. Eroshkin, Wenhong Zhu, Mariam Ghochani, Anjuli M. Timmer, Victor Nizet, W. Andy Tao and Eric Wildfang. Their work appears in journals such as Journal of Proteome Research, Journal of Biological Chemistry, Frontiers in Immunology, Nature Structural & Molecular Biology and Journal for ImmunoTherapy 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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