Jan D. Kahmann

1.4k total citations
17 papers, 855 citations indexed

About

Jan D. Kahmann is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Jan D. Kahmann has authored 17 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Immunology and Allergy. Recurrent topics in Jan D. Kahmann's work include Cell Adhesion Molecules Research (6 papers), Proteoglycans and glycosaminoglycans research (6 papers) and Glycosylation and Glycoproteins Research (4 papers). Jan D. Kahmann is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Proteoglycans and glycosaminoglycans research (6 papers) and Glycosylation and Glycoproteins Research (4 papers). Jan D. Kahmann collaborates with scholars based in United Kingdom, Germany and United States. Jan D. Kahmann's co-authors include Anthony J. Day, Iain D. Campbell, Carsten Bolm, Guido Moll, David G. Jackson, Suneale Banerji, David J. Mahoney, Charles D. Blundell, Andrew R. Pickford and Peter Teriete and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Jan D. Kahmann

17 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan D. Kahmann United Kingdom	13	505	355	152	151	74	17	855
Warren C. Kett Australia	16	478 0.9×	325 0.9×	127 0.8×	85 0.6×	67 0.9×	22	845
Tomi T. Airenne Finland	19	652 1.3×	485 1.4×	100 0.7×	258 1.7×	45 0.6×	34	1.1k
Siddhartha S. Jana India	18	595 1.2×	374 1.1×	77 0.5×	65 0.4×	83 1.1×	41	1.1k
Heide Kogelberg United Kingdom	17	556 1.1×	118 0.3×	231 1.5×	50 0.3×	48 0.6×	33	874
M R Stroud United States	13	786 1.6×	178 0.5×	247 1.6×	76 0.5×	53 0.7×	14	973
Alakesh Das India	15	392 0.8×	226 0.6×	108 0.7×	99 0.7×	342 4.6×	33	972
Staffan Sandgren Sweden	12	871 1.7×	196 0.6×	57 0.4×	66 0.4×	46 0.6×	13	1.3k
Elizabeth E.O. Caldwell United States	8	346 0.7×	278 0.8×	59 0.4×	67 0.4×	31 0.4×	10	579
Pamela J. Beck United States	14	542 1.1×	64 0.2×	276 1.8×	294 1.9×	77 1.0×	17	901

Countries citing papers authored by Jan D. Kahmann

Since Specialization

Citations

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

Fields of papers citing papers by Jan D. Kahmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan D. Kahmann. 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 Jan D. Kahmann. The network helps show where Jan D. Kahmann may publish in the future.

Co-authorship network of co-authors of Jan D. Kahmann

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

All Works

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17 of 17 papers shown

Mesleh, Michael F., Jason B. Cross, Jing Zhang, et al.. (2016). Fragment-based discovery of DNA gyrase inhibitors targeting the ATPase subunit of GyrB. Bioorganic & Medicinal Chemistry Letters. 26(4). 1314–1318. 52 indexed citations

Backe, Paul Hoff, Jan D. Kahmann, Christoph Scheich, et al.. (2012). Structure and function of the human sperm-specific isoform of protein kinase A (PKA) catalytic subunit Cα2. Journal of Structural Biology. 178(3). 300–310. 8 indexed citations

Keminer, Oliver, Jan D. Kahmann, Christoph Scheich, et al.. (2009). Novel MK2 Inhibitors by Fragment Screening. Combinatorial Chemistry & High Throughput Screening. 12(7). 697–703. 4 indexed citations

Kahmann, Jan D., Dirk Winkler, & Thomas Hesterkamp. (2008). The impact of physical based methods screening and their delivery of better quality hits. Drug Discovery Today Technologies. 5(1). e15–e22. 1 indexed citations

Blundell, Charles D., David J. Mahoney, Andrew Almond, et al.. (2007). Determining the Molecular Basis for the pH-dependent Interaction between the Link Module of Human TSG-6 and Hyaluronan. Journal of Biological Chemistry. 282(17). 12976–12988. 32 indexed citations

Grzesiek, Stephan, Martin Allan, Florence Cordier, et al.. (2005). Nuclear magnetic resonance as a quantitative tool to study interactions in biomacromolecules. Pure and Applied Chemistry. 77(8). 1409–1424. 3 indexed citations

Teriete, Peter, Suneale Banerji, M.E.M. Noble, et al.. (2004). Structure of the Regulatory Hyaluronan Binding Domain in the Inflammatory Leukocyte Homing Receptor CD44. Molecular Cell. 13(4). 483–496. 182 indexed citations

Kahmann, Jan D., Vera Pütter, Ky Lowenhaupt, et al.. (2004). The solution structure of the N-terminal domain of E3L shows a tyrosine conformation that may explain its reduced affinity to Z-DNA in vitro. Proceedings of the National Academy of Sciences. 101(9). 2712–2717. 44 indexed citations

Blundell, Charles D., David J. Mahoney, Andrew Almond, et al.. (2003). The Link Module from Ovulation- and Inflammation-associated Protein TSG-6 Changes Conformation on Hyaluronan Binding. Journal of Biological Chemistry. 278(49). 49261–49270. 77 indexed citations

10.

Kahmann, Jan D.. (2003). Structural basis for antibiotic recognition by the TipA class of multidrug-resistance transcriptional regulators. The EMBO Journal. 22(8). 1824–1834. 42 indexed citations

11.

Bolm, Carsten, Guido Moll, & Jan D. Kahmann. (2001). Synthesis of Pseudopeptides with Sulfoximines as Chiral Backbone Modifying Elements. Chemistry - A European Journal. 7(5). 1118–1128. 56 indexed citations

12.

Kahmann, Jan D., Ronan O’Brien, Jörn M. Werner, et al.. (2000). Localization and characterization of the hyaluronan-binding site on the Link module from human TSG-6. Structure. 8(7). 763–774. 83 indexed citations

13.

Parkar, Ashfaq A., Jan D. Kahmann, Sarah Howat, Michael T. Bayliss, & Anthony J. Day. (1998). TSG‐6 interacts with hyaluronan and aggrecan in a pH‐dependent manner via a common functional element: implications for its regulation in inflamed cartilage. FEBS Letters. 428(3). 171–176. 61 indexed citations

14.

Banerji, Suneale, Anthony J. Day, Jan D. Kahmann, & David G. Jackson. (1998). Characterization of a Functional Hyaluronan-Binding Domain from the Human CD44 Molecule Expressed inEscherichia coli. Protein Expression and Purification. 14(3). 371–381. 61 indexed citations

15.

Kahmann, Jan D., et al.. (1997). Method for Quantitative Refolding of the Link Module from Human TSG-6. Protein Expression and Purification. 9(3). 315–318. 26 indexed citations

16.

Bolm, Carsten, Jan D. Kahmann, & Guido Moll. (1997). Sulfoximines in pseudopeptides. Tetrahedron Letters. 38(7). 1169–1172. 39 indexed citations

17.

Morton, Craig J., et al.. (1996). Solution structure and peptide binding of the SH3 domain from human Fyn. Structure. 4(6). 705–714. 84 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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