T. Cooper Woods

1.1k citations
30 papers · 871 indexed · h-index 18
Topics
Circular RNAs in diseases (5 papers)MicroRNA in disease regulation (4 papers)Cerebrovascular and Carotid Artery Diseases (4 papers)
Partner nations
United StatesItalyJapan

In The Last Decade

T. Cooper Woods

30 papers receiving 857 citations

Peers

T. Cooper Woods
Comparison fields: 5 of 97
  • Molecular Biology 419
  • Cancer Research 252
  • Surgery 219
  • Cardiology and Cardiovascular Medicine 181
  • Pulmonary and Respiratory Medicine 149
Replace K. Vinod Vijayan with:
K. Vinod Vijayan United States
Seema Dangwal Germany
Xiaoxiang Tian China
Jun‐ichiro Koga Japan
Yulia Kiyan Germany
Elena Revuelta‐López Spain
Hiroshi Niiyama Japan
Lian Xu China
Haoxiao Zheng China
You-Ying Chau United Kingdom
T. Cooper Woods relative to K. Vinod Vijayan United States K. Vinod Vijayan's profile →
Citations per field
00.5×2.6×
K. Vinod Vijayan · 1×
Citations per year

Countries citing papers authored by T. Cooper Woods

Since Specialization
Citations

This map shows the geographic impact of T. Cooper Woods'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 T. Cooper Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Cooper Woods more than expected).

Fields of papers citing papers by T. Cooper Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Cooper Woods. 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 T. Cooper Woods. The network helps show where T. Cooper Woods may publish in the future.

Co-authorship network of co-authors of T. Cooper Woods

This figure shows the co-authorship network connecting the top 25 collaborators of T. Cooper Woods. A scholar is included among the top collaborators of T. Cooper Woods 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 T. Cooper Woods. T. Cooper Woods 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 18
2 12
3 24
4 89
5 27
6 1
7 30
8 42
9 91
10 65
11 64
12 11
13 50
14 9
15 1
16 1
17 52
18 3
19 8
20 22

About T. Cooper Woods

T. Cooper Woods is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 30 papers that have together received 871 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Cancer Research (252 citations), Cardiology and Cardiovascular Medicine (181 citations) and Endocrinology, Diabetes and Metabolism (127 citations). T. Cooper Woods has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Daniel Lightell, Andrew R. Marks, Hernan A. Bazán, Ryousuke Satou, Courtney Dugas, L. Gabriel Navar, Vivian Fonseca, Akemi Katsurada, Corey K. Goldman and Yung‐Wei Chi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Stroke.

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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