Sebastian Kelm

40 total papers · 1.9k total citations
29 papers, 1.1k citations indexed

About

Sebastian Kelm is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Sebastian Kelm has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Immunology. Recurrent topics in Sebastian Kelm's work include Monoclonal and Polyclonal Antibodies Research (14 papers), Protein Structure and Dynamics (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Sebastian Kelm is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (14 papers), Protein Structure and Dynamics (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Sebastian Kelm collaborates with scholars based in United Kingdom, China and Belgium. Sebastian Kelm's co-authors include Charlotte M. Deane, Jiye Shi, Konrad Krawczyk, Jinwoo Leem, Aleksandr Kovaltsuk, James Snowden, Guy Georges, Jarosław Nowak, Sandeep Kumar and Richard A. Norman and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Sebastian Kelm

29 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 Kelm 873 476 213 137 92 29 1.1k
Brian D. Weitzner 1.0k 1.2× 514 1.1× 196 0.9× 131 1.0× 77 0.8× 18 1.4k
Diana Tello 974 1.1× 576 1.2× 272 1.3× 152 1.1× 43 0.5× 24 1.2k
Shaun M. Lippow 1.1k 1.3× 762 1.6× 236 1.1× 96 0.7× 51 0.6× 16 1.4k
Monica L. Fernández‐Quintero 714 0.8× 541 1.1× 169 0.8× 45 0.3× 41 0.4× 86 917
Mateusz Kurciński 1.1k 1.2× 182 0.4× 103 0.5× 219 1.6× 256 2.8× 28 1.3k
Xavier Ysern 736 0.8× 512 1.1× 613 2.9× 95 0.7× 33 0.4× 25 1.4k
Pablo Gaínza 976 1.1× 253 0.5× 85 0.4× 181 1.3× 257 2.8× 25 1.2k
Anatoly Dubnovitsky 722 0.8× 251 0.5× 141 0.7× 129 0.9× 134 1.5× 30 1.2k
Alice Yam 990 1.1× 271 0.6× 98 0.5× 132 1.0× 38 0.4× 20 1.2k
Michael T. Stumpp 937 1.1× 445 0.9× 133 0.6× 136 1.0× 17 0.2× 25 1.2k

Countries citing papers authored by Sebastian Kelm

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Kelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Kelm

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026