Kathrin Heikamp

656 total citations
17 papers, 455 citations indexed

About

Kathrin Heikamp is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Kathrin Heikamp has authored 17 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 12 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Kathrin Heikamp's work include Computational Drug Discovery Methods (16 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Machine Learning in Materials Science (5 papers). Kathrin Heikamp is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Machine Learning in Materials Science (5 papers). Kathrin Heikamp collaborates with scholars based in Germany, United States and Italy. Kathrin Heikamp's co-authors include Jürgen Bajorath, Xiaoying Hu, Aixia Yan, Dagmar Stumpfe, Dilyana Dimova, Karl N. Kirschner, Dirk Reith, Anne Mai Wassermann, Andrew Anighoro and Leonard Μ. Neckers and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Future Medicinal Chemistry.

In The Last Decade

Kathrin Heikamp

16 papers receiving 443 citations

Peers

Kathrin Heikamp

CTM

PHARM

Harris Ioannidis United Kingdom

Emilio Xavier Esposito United States

Nicolas Bosc United Kingdom

Emma J. Manners United Kingdom

Rocco Meli United Kingdom

Hanna Eckert Germany

Markus Sitzmann United States

Sumudu P. Leelananda United States

Paul Francoeur United States

Khanh Tang United States

Harris Ioannidis United Kingdom

Kathrin Heikamp

288 ×0.8

CTM

366 ×1.3

102 ×0.8

38 ×0.7

PHARM

44 ×0.8

Citations per year, relative to Kathrin Heikamp Kathrin Heikamp (= 1×) peers Harris Ioannidis

Countries citing papers authored by Kathrin Heikamp

Since Specialization

Citations

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

Fields of papers citing papers by Kathrin Heikamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathrin Heikamp

This figure shows the co-authorship network connecting the top 25 collaborators of Kathrin Heikamp. A scholar is included among the top collaborators of Kathrin Heikamp 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 Kathrin Heikamp. Kathrin Heikamp 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

Homeyer, Nadine, Ruud van Deursen, Bernardo Ochoa‐Montaño, et al.. (2019). A platform for target prediction of phenotypic screening hit molecules. Journal of Molecular Graphics and Modelling. 95. 107485–107485.

Anighoro, Andrew, Dagmar Stumpfe, Kathrin Heikamp, et al.. (2015). Computational Polypharmacology Analysis of the Heat Shock Protein 90 Interactome. Journal of Chemical Information and Modeling. 55(3). 676–686. 17 indexed citations

Namasivayam, Vigneshwaran, et al.. (2014). Prediction of Compounds in Different Local Structure–Activity Relationship Environments Using Emerging Chemical Patterns. Journal of Chemical Information and Modeling. 54(5). 1301–1310. 5 indexed citations

Heikamp, Kathrin, et al.. (2014). Modeling of Compound Profiling Experiments Using Support Vector Machines. Chemical Biology & Drug Design. 84(1). 75–85. 5 indexed citations

Heikamp, Kathrin & Jürgen Bajorath. (2013). Support vector machines for drug discovery. Expert Opinion on Drug Discovery. 9(1). 93–104. 118 indexed citations

Heikamp, Kathrin & Jürgen Bajorath. (2013). Prediction of Compounds with Closely Related Activity Profiles Using Weighted Support Vector Machine Linear Combinations. Journal of Chemical Information and Modeling. 53(4). 791–801. 20 indexed citations

Stumpfe, Dagmar, Dilyana Dimova, Kathrin Heikamp, & Jürgen Bajorath. (2013). Compound Pathway Model To Capture SAR Progression: Comparison of Activity Cliff-Dependent and -Independent Pathways. Journal of Chemical Information and Modeling. 53(5). 1067–1072. 6 indexed citations

Heikamp, Kathrin & Jürgen Bajorath. (2013). Comparison of Confirmed Inactive and Randomly Selected Compounds as Negative Training Examples in Support Vector Machine-Based Virtual Screening. Journal of Chemical Information and Modeling. 53(7). 1595–1601. 31 indexed citations

Dimova, Dilyana, Kathrin Heikamp, Dagmar Stumpfe, & Jürgen Bajorath. (2013). Do Medicinal Chemists Learn from Activity Cliffs? A Systematic Evaluation of Cliff Progression in Evolving Compound Data Sets. Journal of Medicinal Chemistry. 56(8). 3339–3345. 16 indexed citations

10.

Heikamp, Kathrin & Jürgen Bajorath. (2012). The Future of Virtual Compound Screening. Chemical Biology & Drug Design. 81(1). 33–40. 64 indexed citations

11.

Heikamp, Kathrin, Xiaoying Hu, Aixia Yan, & Jürgen Bajorath. (2012). Prediction of Activity Cliffs Using Support Vector Machines. Journal of Chemical Information and Modeling. 52(9). 2354–2365. 50 indexed citations

12.

Heikamp, Kathrin & Jürgen Bajorath. (2012). Fingerprint Design And Engineering Strategies: Rationalizing And Improving Similarity Search Performance. Future Medicinal Chemistry. 4(15). 1945–1959. 16 indexed citations

13.

Heikamp, Kathrin, Anne Mai Wassermann, & Jürgen Bajorath. (2012). Potency-directed similarity searching using support vector machines. Journal of Cheminformatics. 4(S1). 2 indexed citations

14.

Heikamp, Kathrin & Jürgen Bajorath. (2011). How Do 2D Fingerprints Detect Structurally Diverse Active Compounds? Revealing Compound Subset-Specific Fingerprint Features through Systematic Selection. Journal of Chemical Information and Modeling. 51(9). 2254–2265. 28 indexed citations

15.

Heikamp, Kathrin & Jürgen Bajorath. (2011). Large-Scale Similarity Search Profiling of ChEMBL Compound Data Sets. Journal of Chemical Information and Modeling. 51(8). 1831–1839. 58 indexed citations

16.

Wassermann, Anne Mai, Kathrin Heikamp, & Jürgen Bajorath. (2010). Potency‐Directed Similarity Searching Using Support Vector Machines. Chemical Biology & Drug Design. 77(1). 30–38. 8 indexed citations

17.

Kirschner, Karl N., Kathrin Heikamp, & Dirk Reith. (2010). Atomistic simulations of isotactic and atactic poly(methyl methacrylate) melts: exploring the backbone conformational space. Molecular Simulation. 36(15). 1253–1264. 11 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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