Todd Evans

17.1k total citations · 3 hit papers
161 papers, 11.7k citations indexed

About

Todd Evans is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Todd Evans has authored 161 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Molecular Biology, 33 papers in Cell Biology and 22 papers in Genetics. Recurrent topics in Todd Evans's work include Congenital heart defects research (42 papers), Zebrafish Biomedical Research Applications (25 papers) and Pluripotent Stem Cells Research (22 papers). Todd Evans is often cited by papers focused on Congenital heart defects research (42 papers), Zebrafish Biomedical Research Applications (25 papers) and Pluripotent Stem Cells Research (22 papers). Todd Evans collaborates with scholars based in United States, China and Qatar. Todd Evans's co-authors include Gary Felsenfeld, Marc L. Reitman, Argiris Efstratiadis, Audrey Holtzinger, Timothy Hla, Yongmei Jiang, Karen Mendelson, Bhaskar C. Das, Miriam Gordillo and Shuibing Chen and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Todd Evans

158 papers receiving 11.5k citations

Hit Papers

Cell type of origin influences the m... 1989 2026 2001 2013 2010 2010 1989 250 500 750

Peers

Todd Evans
Comparison fields: 5 of 144
  • Molecular Biology 9.0k
  • Genetics 1.6k
  • Surgery 1.5k
  • Cell Biology 1.2k
  • Physiology 881
Replace Kimi Araki with:
Kimi Araki Japan
Tsonwin Hai United States
Mathieu Bollen Belgium
William J. Pavan United States
Raija Sormunen Finland
Michael P. Morley United States
Michael Jaye United States
Sheng‐Cai Lin China
Gregg Duester United States
Naohiro Terada United States
Kimi Araki Japan View profile →
Citations per field, relative to Todd Evans
Todd Evans · 1×
Citations per year, relative to Todd Evans
Todd Evans · 1×

Countries citing papers authored by Todd Evans

Since Specialization
Citations

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

Fields of papers citing papers by Todd Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Evans

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Evans. A scholar is included among the top collaborators of Todd Evans 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 Todd Evans. Todd Evans 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
# Work Indexed citations
1 2
2 3
3 18
4 2
5 2
6 4
7 41
8 31
9 28
10 25
11 47
12 23
13 23
14 67
15 293
16 24
17 84
18 9
19
The 1166A/C polymorphism of the angiotensin II type 1 receptor gene does not correlate with the blood pressure response to angiotensin II in patients with CHF
2
20 201

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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