Sebastian Kelm

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 Claire Marks 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 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sebastian Kelm United Kingdom 17 888 486 219 139 93 29 1.1k
Brian D. Weitzner United States 13 1.1k 1.2× 522 1.1× 199 0.9× 131 0.9× 77 0.8× 18 1.4k
Jeliazko R. Jeliazkov United States 13 1.3k 1.5× 496 1.0× 210 1.0× 239 1.7× 137 1.5× 21 1.6k
Stephen L. Sazinsky United States 10 1.2k 1.4× 618 1.3× 280 1.3× 91 0.7× 50 0.5× 15 1.6k
Monica L. Fernández‐Quintero Austria 19 718 0.8× 552 1.1× 170 0.8× 46 0.3× 41 0.4× 87 940
Otmar Hainzl Germany 11 965 1.1× 217 0.4× 339 1.5× 150 1.1× 57 0.6× 12 1.2k
Alexander Bujotzek Germany 20 1.0k 1.1× 795 1.6× 239 1.1× 32 0.2× 60 0.6× 37 1.3k
Diana Tello France 16 975 1.1× 576 1.2× 273 1.2× 152 1.1× 43 0.5× 24 1.2k
Rebecca F. Alford United States 6 990 1.1× 152 0.3× 51 0.2× 230 1.7× 124 1.3× 12 1.2k
Benjamin T. Porebski Australia 19 769 0.9× 128 0.3× 173 0.8× 153 1.1× 30 0.3× 30 1.1k
Seong-Eon Ryu South Korea 10 690 0.8× 189 0.4× 263 1.2× 87 0.6× 15 0.2× 15 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

20 of 20 papers shown
1.
Ludwig, Oliver, Carlo Dindorf, Sebastian Kelm, Jens Kelm, & Michael Fröhlich. (2024). Muscular Strategies for Correcting the Pelvic Position to Improve Posture—An Exploratory Study. Journal of Functional Morphology and Kinesiology. 9(1). 25–25. 3 indexed citations
2.
Galson, Jacob D., et al.. (2023). Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery. Frontiers in Molecular Biosciences. 10. 1214424–1214424. 11 indexed citations
3.
Kelm, Sebastian, et al.. (2022). Higher Affinity Antibodies Bind With Lower Hydration and Flexibility in Large Scale Simulations. Frontiers in Immunology. 13. 884110–884110. 4 indexed citations
4.
Kelm, Sebastian, et al.. (2022). A computational method for predicting the aggregation propensity of IgG1 and IgG4(P) mAbs in common storage buffers. mAbs. 14(1). 2138092–2138092. 9 indexed citations
5.
Sun, Bingfa, Dan Feng, Matthew Ling-Hon Chu, et al.. (2021). Crystal structure of dopamine D1 receptor in complex with G protein and a non-catechol agonist. Nature Communications. 12(1). 3305–3305. 37 indexed citations
6.
Kovaltsuk, Aleksandr, Matthew I. J. Raybould, Wing Ki Wong, et al.. (2020). Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice. PLoS Computational Biology. 16(2). e1007636–e1007636. 24 indexed citations
7.
Kelm, Sebastian, et al.. (2019). B-cell epitopes: Discontinuity and conformational analysis. Molecular Immunology. 114. 643–650. 43 indexed citations
8.
Lovera, Silvia, Alberto Cuzzolin, Sebastian Kelm, Gianni De Fabritiis, & Zara A. Sands. (2019). Reconstruction of apo A2A receptor activation pathways reveal ligand-competent intermediates and state-dependent cholesterol hotspots. Scientific Reports. 9(1). 14199–14199. 26 indexed citations
9.
Kovaltsuk, Aleksandr, Jinwoo Leem, Sebastian Kelm, et al.. (2018). Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires. The Journal of Immunology. 201(8). 2502–2509. 149 indexed citations
10.
Krawczyk, Konrad, Sebastian Kelm, Aleksandr Kovaltsuk, et al.. (2018). Structurally Mapping Antibody Repertoires. Frontiers in Immunology. 9. 1698–1698. 29 indexed citations
11.
Kovaltsuk, Aleksandr, Konrad Krawczyk, Sebastian Kelm, James Snowden, & Charlotte M. Deane. (2018). Filtering Next-Generation Sequencing of the Ig Gene Repertoire Data Using Antibody Structural Information. The Journal of Immunology. 201(12). 3694–3704. 7 indexed citations
12.
Marks, Claire, Jarosław Nowak, Stefan Klostermann, et al.. (2017). Sphinx: merging knowledge-based andab initioapproaches to improve protein loop prediction. Bioinformatics. 33(9). 1346–1353. 44 indexed citations
13.
Pearce, Nicholas M., T. Krojer, A.R. Bradley, et al.. (2017). A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density. Nature Communications. 8(1). 15123–15123. 175 indexed citations
14.
Kelm, Sebastian, et al.. (2017). Investigating Cotranslational Folding in Membrane Proteins using Fragment-Based Structure Prediction. Biophysical Journal. 112(3). 61a–61a. 1 indexed citations
15.
Dunbar, James B., Konrad Krawczyk, Jinwoo Leem, et al.. (2016). SAbPred: a structure-based antibody prediction server. Nucleic Acids Research. 44(W1). W474–W478. 118 indexed citations
16.
Nowak, Jarosław, Terry Baker, Guy Georges, et al.. (2016). Length-independent structural similarities enrich the antibody CDR canonical class model. mAbs. 8(4). 751–760. 39 indexed citations
17.
Wilman, H., et al.. (2016). Examining the Conservation of Kinks in Alpha Helices. PLoS ONE. 11(6). e0157553–e0157553. 14 indexed citations
18.
Ebejer, Jean-Paul, et al.. (2013). Memoir: template-based structure prediction for membrane proteins. Nucleic Acids Research. 41(W1). W379–W383. 33 indexed citations
19.
Kelm, Sebastian, et al.. (2011). Environment specific substitution tables improve membrane protein alignment. Bioinformatics. 27(13). i15–i23. 16 indexed citations
20.
Kelm, Sebastian, Jiye Shi, & Charlotte M. Deane. (2010). MEDELLER: homology-based coordinate generation for membrane proteins. Bioinformatics. 26(22). 2833–2840. 80 indexed citations

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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