K.‐H. ALTMANN

767 total citations
11 papers, 661 citations indexed

About

K.‐H. ALTMANN is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, K.‐H. ALTMANN has authored 11 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Biomaterials and 3 papers in Oncology. Recurrent topics in K.‐H. ALTMANN's work include Chemical Synthesis and Analysis (5 papers), Supramolecular Self-Assembly in Materials (4 papers) and Cancer Treatment and Pharmacology (3 papers). K.‐H. ALTMANN is often cited by papers focused on Chemical Synthesis and Analysis (5 papers), Supramolecular Self-Assembly in Materials (4 papers) and Cancer Treatment and Pharmacology (3 papers). K.‐H. ALTMANN collaborates with scholars based in Switzerland, Italy and United States. K.‐H. ALTMANN's co-authors include Jacek Wójcik, Harold A. Scheraga, M. Mutter, Manfred Mutter, Gabriele Tuchscherer, Daniel F. Wyss, Charleen Miller, Robert I. Carey, Alexander M. Labhardt and Jean Rivier and has published in prestigious journals such as Journal of the American Chemical Society, Biopolymers and Biochemical Society Transactions.

In The Last Decade

K.‐H. ALTMANN

11 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.‐H. ALTMANN Switzerland 9 535 148 83 83 80 11 661
Rebecca E. Connor United States 7 442 0.8× 200 1.4× 52 0.6× 126 1.5× 44 0.6× 8 647
Dirk Wildemann Germany 14 674 1.3× 167 1.1× 36 0.4× 157 1.9× 206 2.6× 17 834
Johanna M. Rodriguez United States 11 631 1.2× 426 2.9× 83 1.0× 39 0.5× 114 1.4× 12 752
Jenny Wai United States 14 425 0.8× 227 1.5× 52 0.6× 31 0.4× 130 1.6× 18 778
Olaf Kutzki Germany 11 499 0.9× 366 2.5× 39 0.5× 146 1.8× 77 1.0× 12 712
Darren R. March Australia 14 589 1.1× 417 2.8× 24 0.3× 42 0.5× 83 1.0× 15 862
Iván Cornella‐Taracido United States 14 355 0.7× 207 1.4× 24 0.3× 90 1.1× 70 0.9× 20 714
Kérya Long United Kingdom 6 677 1.3× 400 2.7× 75 0.9× 46 0.6× 103 1.3× 8 795
Michele L. DeRider United States 6 540 1.0× 233 1.6× 272 3.3× 73 0.9× 48 0.6× 7 801
David Bier Germany 14 668 1.2× 188 1.3× 23 0.3× 79 1.0× 94 1.2× 18 800

Countries citing papers authored by K.‐H. ALTMANN

Since Specialization
Citations

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

Fields of papers citing papers by K.‐H. ALTMANN

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.‐H. ALTMANN. 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 K.‐H. ALTMANN. The network helps show where K.‐H. ALTMANN may publish in the future.

Co-authorship network of co-authors of K.‐H. ALTMANN

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

All Works

11 of 11 papers shown
1.
ALTMANN, K.‐H.. (2009). The epothilones : an outstanding family of anti-tumor agents : from soil to the clinic. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 15 indexed citations
2.
ALTMANN, K.‐H., Gerhard Höfle, Rolf Müller, Johann Mulzer, & Kathrin Prantz. (2009). The Epothilones: An Outstanding Family of Anti-Tumor Agents. Fortschritte der Chemie Organischer Naturstoffe/Fortschritte der Chemie organischer Naturstoffe/Progress in the chemistry of organic natural products. 31 indexed citations
3.
ALTMANN, K.‐H.. (2005). Recent Developments in the Chemical Biology of Epothilones. Current Pharmaceutical Design. 11(13). 1595–1613. 74 indexed citations
4.
ALTMANN, K.‐H., Doriano Fabbro, Nicholas M. Dean, et al.. (1996). Second-generation antisense oligonucleotides: structure—activity relationships and the design of improved signal-transduction inhibitors. Biochemical Society Transactions. 24(3). 630–637. 96 indexed citations
5.
Tuchscherer, Gabriele, et al.. (1994). De Novo Design of Proteins. Methods in molecular biology. 36. 261–285. 7 indexed citations
6.
Mutter, Manfred, Gabriele Tuchscherer, Charleen Miller, et al.. (1992). Template-assembled synthetic proteins with four-helix-bundle topology. Total chemical synthesis and conformational studies. Journal of the American Chemical Society. 114(4). 1463–1470. 182 indexed citations
7.
8.
Mutter, M., K.‐H. ALTMANN, Gabriele Tuchscherer, & Stéphane Vuilleumier. (1989). Template assembled synthetic proteins. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4. 1 indexed citations
9.
ALTMANN, K.‐H., et al.. (1986). Sequence‐dependence of secondary structure formation. International journal of peptide & protein research. 27(3). 314–319. 32 indexed citations
10.
Mutter, M. & K.‐H. ALTMANN. (1985). Sequence‐dependence of secondary structure formation II*. International journal of peptide & protein research. 26(4). 373–380. 25 indexed citations
11.

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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