Hanna Eckert

639 total citations
8 papers, 466 citations indexed

About

Hanna Eckert is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Hanna Eckert has authored 8 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 4 papers in Materials Chemistry. Recurrent topics in Hanna Eckert's work include Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (4 papers) and Chemical Synthesis and Analysis (2 papers). Hanna Eckert is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (4 papers) and Chemical Synthesis and Analysis (2 papers). Hanna Eckert collaborates with scholars based in Germany and United States. Hanna Eckert's co-authors include Jürgen Bajorath, Ingo Vogt and Yuan Wang and has published in prestigious journals such as Journal of Medicinal Chemistry, Drug Discovery Today and Journal of Chemical Information and Modeling.

In The Last Decade

Hanna Eckert

8 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanna Eckert Germany	6	381	309	80	71	62	8	466
Linda Traphagen United States	6	413 1.1×	389 1.3×	67 0.8×	68 1.0×	117 1.9×	10	645
Markus Sitzmann United States	11	334 0.9×	292 0.9×	87 1.1×	65 0.9×	42 0.7×	12	530
Kathrin Heikamp Germany	11	361 0.9×	278 0.9×	126 1.6×	46 0.6×	54 0.9×	17	455
Peter Monecke Germany	12	345 0.9×	433 1.4×	139 1.7×	64 0.9×	75 1.2×	19	726
Britta Nisius Germany	11	467 1.2×	428 1.4×	84 1.1×	47 0.7×	76 1.2×	18	613
Moises Hassan United States	9	300 0.8×	282 0.9×	43 0.5×	95 1.3×	35 0.6×	13	465
Harris Ioannidis United Kingdom	7	288 0.8×	366 1.2×	102 1.3×	33 0.5×	38 0.6×	8	592
Mike Hann United Kingdom	4	393 1.0×	374 1.2×	68 0.8×	80 1.1×	81 1.3×	6	628
Swetlana Dracheva United States	8	280 0.7×	437 1.4×	59 0.7×	56 0.8×	62 1.0×	9	675
Liying Zhang United States	10	281 0.7×	207 0.7×	52 0.7×	58 0.8×	42 0.7×	20	473

Countries citing papers authored by Hanna Eckert

Since Specialization

Citations

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

Fields of papers citing papers by Hanna Eckert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Eckert

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

All Works

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8 of 8 papers shown

1.

Eckert, Hanna & Jürgen Bajorath. (2008). Optimization of the MAD Algorithm for Virtual Screening. Methods in molecular biology. 453. 349–362. 1 indexed citations

2.

Eckert, Hanna & Jürgen Bajorath. (2007). Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches. Drug Discovery Today. 12(5-6). 225–233. 343 indexed citations

3.

Wang, Yuan, Hanna Eckert, & Jürgen Bajorath. (2007). Apparent Asymmetry in Fingerprint Similarity Searching is a Direct Consequence of Differences in Bit Densities and Molecular Size. ChemMedChem. 2(7). 1037–1042. 16 indexed citations

4.

Eckert, Hanna & Jürgen Bajorath. (2007). Exploring Peptide-likeness of Active Molecules Using 2D Fingerprint Methods. Journal of Chemical Information and Modeling. 47(4). 1366–1378. 5 indexed citations

5.

Eckert, Hanna, et al.. (2006). Comparison of 2D Fingerprint Methods for Multiple‐Template Similarity Searching on Compound Activity Classes of Increasing Structural Diversity. ChemMedChem. 2(2). 208–217. 42 indexed citations

6.

Eckert, Hanna & Jürgen Bajorath. (2006). Design and Evaluation of a Novel Class-Directed 2D Fingerprint to Search for Structurally Diverse Active Compounds. Journal of Chemical Information and Modeling. 46(6). 2515–2526. 26 indexed citations

7.

Eckert, Hanna & Jürgen Bajorath. (2006). Determination and Mapping of Activity-Specific Descriptor Value Ranges for the Identification of Active Compounds. Journal of Medicinal Chemistry. 49(7). 2284–2293. 18 indexed citations

8.

Eckert, Hanna, Ingo Vogt, & Jürgen Bajorath. (2006). Mapping Algorithms for Molecular Similarity Analysis and Ligand-Based Virtual Screening: Design of DynaMAD and Comparison with MAD and DMC. Journal of Chemical Information and Modeling. 46(4). 1623–1634. 15 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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