Darren R. Tyson

2.5k citations
55 papers · 1.7k indexed · h-index 25
Topics
Gene Regulatory Network Analysis (8 papers)Single-cell and spatial transcriptomics (6 papers)Cell Image Analysis Techniques (6 papers)
Partner nations
United StatesJapanItaly

In The Last Decade

Darren R. Tyson

53 papers receiving 1.7k citations

Peers

Darren R. Tyson
Comparison fields: 5 of 115
  • Molecular Biology 1.0k
  • Oncology 546
  • Cancer Research 360
  • Pulmonary and Respiratory Medicine 220
  • Surgery 153
Replace Xiaobo Zhou with:
Xiaobo Zhou United States
Corbin E. Meacham United States
Jiayi Zhang China
Ievgenia Pastushenko Belgium
Giulio Francia United States
John T. Leith United States
Luis de la Cruz‐Merino Spain
Oddbjørn Straume Norway
Michael Hölzel Germany
Marnix Jansen United Kingdom
Darren R. Tyson relative to Xiaobo Zhou United States Xiaobo Zhou's profile →
Citations per field
00.5×1.5×
Xiaobo Zhou · 1×
Citations per year

Countries citing papers authored by Darren R. Tyson

Since Specialization
Citations

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

Fields of papers citing papers by Darren R. Tyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren R. Tyson. 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 Darren R. Tyson. The network helps show where Darren R. Tyson may publish in the future.

Co-authorship network of co-authors of Darren R. Tyson

This figure shows the co-authorship network connecting the top 25 collaborators of Darren R. Tyson. A scholar is included among the top collaborators of Darren R. Tyson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darren R. Tyson. Darren R. Tyson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 11
3 2
4 5
5 21
6 9
7 24
8 43
9 71
10 70
11 45
12 79
13 17
14 55
15 7
16 36
17 6
18 167
19 55
20 7

About Darren R. Tyson

Darren R. Tyson is a scholar working on Modeling and Simulation, Biophysics and Cancer Research, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Single-cell and spatial transcriptomics (6 papers) and Cell Image Analysis Techniques (6 papers). The work is most often cited by research in Modeling and Simulation (116 citations), Cancer Research (360 citations) and Oncology (546 citations). Darren R. Tyson has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Vito Quaranta, Nicola C. Partridge, David K. Ornstein, N. Selvamurugan, Shawn Garbett, John T. Swarthout, Junichi Inokuchi, Alice Lau, B. Bishal Paudel and Leonard A. Harris. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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