John A. Rose

905 citations
29 papers · 454 · h-index 11

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 19
    • DNA and Biological Computing 14
    • DNA and Nucleic Acid Chemistry 11
    • RNA and protein synthesis mechanisms 4
    • Gene expression and cancer classification 3
    • Molecular Biology Techniques and Applications 2
    • Modular Robots and Swarm Intelligence 4

John A. Rose

29 papers receiving 432 citations

Peers

John A. Rose
Comparison fields: 5 of 76
  • Behavioral Neuroscience 59
  • Cellular and Molecular Neuroscience 101
  • Developmental Neuroscience 21
  • Endocrinology, Diabetes and Metabolism 80
  • Genetics 114
Replace Ming Jian with:
Ming Jian United States
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Lauren Renner United States
Dong-Kyu Kim South Korea
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Citations per field
00.5×2.6×
Ming Jian · 1×
Citations per year

Countries citing papers authored by John A. Rose

Since Specialization
Citations

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

Fields of papers citing papers by John A. Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006171
2 199871
3 200239
4 200624
5
A statistical mechanical treatment of error in the annealing biostep of DNA computation
199921
6 200216
7 200513
8 200213
9 200413
10 200212
11 199811
12 20108
13 20097
14 20075
15 20045
16 20044
17 20033
18 20163
19 20073
20 20022

About John A. Rose

John A. Rose is a scholar working on Molecular Biology, Mechanical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Ecology, having authored 29 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (19 papers), DNA and Biological Computing (14 papers), DNA and Nucleic Acid Chemistry (11 papers), RNA and protein synthesis mechanisms (4 papers), Modular Robots and Swarm Intelligence (4 papers), Molecular Junctions and Nanostructures (3 papers), Gene expression and cancer classification (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Behavioral Neuroscience (59 citations), Cellular and Molecular Neuroscience (101 citations), Developmental Neuroscience (21 citations), Endocrinology, Diabetes and Metabolism (80 citations) and Genetics (114 citations). John A. Rose has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Russell Deaton, S. Edward Stevens, Max Garzón, Donald R. Franceschetti, R.C. Murphy, Akira Suyama, Suguru Kawato, Norio Takata, Hirotaka Ishii and Hideo Mukai. Their work appears in journals such as Natural Computing, Journal of Neurochemistry, Physical Review Letters, Theoretical Computer Science and IEEE Transactions on NanoBioscience.

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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