Richard A. Ikeda

625 total citations
18 papers, 523 citations indexed

About

Richard A. Ikeda is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Richard A. Ikeda has authored 18 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Ecology. Recurrent topics in Richard A. Ikeda's work include Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers) and T-cell and Retrovirus Studies (4 papers). Richard A. Ikeda is often cited by papers focused on Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers) and T-cell and Retrovirus Studies (4 papers). Richard A. Ikeda collaborates with scholars based in United States. Richard A. Ikeda's co-authors include C C Richardson, Yan S. Ding, Tyler N. Graf, Albert Lin, Daniel H. Rich, Renu B. Lal, S. Michele Owen, Peter B. Dervan, Funmei Yang and Suzanne B. Shuker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Richard A. Ikeda

18 papers receiving 514 citations

Peers

Richard A. Ikeda
Comparison fields: 5 of 57
  • Molecular Biology 409
  • Genetics 231
  • Ecology 170
  • Immunology 46
  • Hematology 42
Robert Bever United States
Donna A. Sobieski United States
Daniel Bose United Kingdom
Fred L. Brown United States
P. Kitts United States
A.S. Larsen United States
Claude V. Déry Canada
M. He United Kingdom
Patricia E. Devlin United Kingdom
Robert Morenweiser Germany
Robert Bever United States View profile →
Citations per field, relative to Richard A. Ikeda
Richard A. Ikeda · 1×
Citations per year, relative to Richard A. Ikeda
Richard A. Ikeda · 1×

Countries citing papers authored by Richard A. Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard A. Ikeda. 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 Richard A. Ikeda. The network helps show where Richard A. Ikeda may publish in the future.

Co-authorship network of co-authors of Richard A. Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Ikeda. A scholar is included among the top collaborators of Richard A. Ikeda 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 Richard A. Ikeda. Richard A. Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 15
2 9
3 7
4 22
5 24
6 25
7 11
8 14
9 43
10 20
11 13
12 20
13 22
14 12
15 78
16 37
17 144
18 7

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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