Sebastian Neumann

70 total papers · 1.6k total citations
34 papers, 1.0k citations indexed

About

Sebastian Neumann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sebastian Neumann has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Sebastian Neumann's work include RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Bone Tissue Engineering Materials (6 papers). Sebastian Neumann is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Bone Tissue Engineering Materials (6 papers). Sebastian Neumann collaborates with scholars based in Germany, Switzerland and United States. Sebastian Neumann's co-authors include Rolf Heumann, Anna Kovtun, Matthias Epple, Kathirvel Ganesan, Viktoriya Sokolova, Jörg Labahn, Joachim Granzin, Maria‐Regina Kula, Irmgard D. Dietzel and Michael Seitz and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Sebastian Neumann

33 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sebastian Neumann 477 368 241 150 101 34 1.0k
Kyung Eun Lee 495 1.0× 362 1.0× 270 1.1× 115 0.8× 105 1.0× 34 1.0k
Frances J. Harding 361 0.8× 642 1.7× 164 0.7× 257 1.7× 87 0.9× 41 1.2k
Jayoung Kim 422 0.9× 461 1.3× 290 1.2× 81 0.5× 129 1.3× 27 1.2k
Wenjia Lai 460 1.0× 291 0.8× 219 0.9× 214 1.4× 72 0.7× 35 984
Robert Selegård 411 0.9× 361 1.0× 211 0.9× 126 0.8× 42 0.4× 44 874
Jared A. Shadish 322 0.7× 415 1.1× 231 1.0× 122 0.8× 63 0.6× 13 897
Shiran Ferber 443 0.9× 411 1.1× 298 1.2× 107 0.7× 177 1.8× 21 1.1k
Vijay Sagar Madamsetty 457 1.0× 353 1.0× 329 1.4× 171 1.1× 123 1.2× 31 1.1k
Lingling Huang 300 0.6× 356 1.0× 184 0.8× 136 0.9× 85 0.8× 34 987
Ayelet David 613 1.3× 288 0.8× 413 1.7× 88 0.6× 137 1.4× 34 1.1k

Countries citing papers authored by Sebastian Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Neumann

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

All Works

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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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