Remus Oşan

982 citations
34 papers · 620 · h-index 14

Impact in

Papers in

Remus Oşan

32 papers receiving 592 citations

Peers

Remus Oşan
Comparison fields: 5 of 102
  • Cognitive Neuroscience 348
  • Cellular and Molecular Neuroscience 195
  • Cell Biology 97
  • Statistical and Nonlinear Physics 71
  • Behavioral Neuroscience 16
Replace Avner Priel with:
Avner Priel Israel
Данко Георгиев Bulgaria
Xiling Wen United States
Marja‐Leena Linne Finland
Jay S. Coggan United States
David B. Kastner United States
Rodrigo F. Oliveira Brazil
J. J. Johannes Hjorth Sweden
Yee Lian Chew Australia
Christopher P. Fall United States
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Citations per field
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Citations per year

Countries citing papers authored by Remus Oşan

Since Specialization
Citations

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

Fields of papers citing papers by Remus Oşan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200597
2 200583
3 201553
4 201149
5 201438
6 200837
7 200236
8 201829
9 201426
10 200123
11 201321
12 200219
13 201114
14 200413
15 201913
16 200712
17 202011
18 20208
19 20177
20 20036

About Remus Oşan

Remus Oşan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Cancer Research and Artificial Intelligence, having authored 34 papers that have together received 620 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), stochastic dynamics and bifurcation (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (7 papers), Advanced Memory and Neural Computing (4 papers), Neural Networks and Applications (4 papers), Cancer Genomics and Diagnostics (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cognitive Neuroscience (348 citations), Cellular and Molecular Neuroscience (195 citations), Cell Biology (97 citations), Statistical and Nonlinear Physics (71 citations) and Behavioral Neuroscience (16 citations). Remus Oşan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Joe Z. Tsien, Longnian Lin, Bard Ermentrout, Olavo B. Amaral, Adriano B. L. Tort, Shy Shoham, Ritu Aneja, Padmashree C.G. Rida, Wenjun Jin and Vaishali Pannu. Their work appears in journals such as PLoS ONE, Neurocomputing, Physical review. E, International Journal of Pharmaceutics and Clinical Cancer Research.

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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