Daniel A. Gschwend

773 total citations
11 papers, 546 citations indexed

About

Daniel A. Gschwend is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Daniel A. Gschwend has authored 11 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Infectious Diseases. Recurrent topics in Daniel A. Gschwend's work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (4 papers) and HIV/AIDS drug development and treatment (4 papers). Daniel A. Gschwend is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (4 papers) and HIV/AIDS drug development and treatment (4 papers). Daniel A. Gschwend collaborates with scholars based in United States, Thailand and Switzerland. Daniel A. Gschwend's co-authors include Irwin D. Kuntz, Andrew C. Good, Jeffrey M. Blaney, Elaine C. Meng, Worachart Sirawaraporn, Daniel V. Santi, Todd Ewing, Roderick E. Hubbard, Andrew R. Leach and David S. Hartsough and has published in prestigious journals such as ACS Catalysis, Proteins Structure Function and Bioinformatics and Journal of Chemical Information and Modeling.

In The Last Decade

Daniel A. Gschwend

10 papers receiving 512 citations

Peers

Countries citing papers authored by Daniel A. Gschwend

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Gschwend

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Gschwend. 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 Daniel A. Gschwend. The network helps show where Daniel A. Gschwend may publish in the future.

Co-authorship network of co-authors of Daniel A. Gschwend

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Enhancing the Imine Reductase Activity of a Promiscuous Glucose Dehydrogenase for Scalable Manufacturing of a Chiral Neprilysin Inhibitor Precursor 2024 ·ACS Catalysis ·(unknown), Florian Kleinbeck, (unknown), (unknown), (unknown), Oscar Alvizo, Thomas Allmendinger, (unknown), Nandhitha Subramanian, Michelle Li, (unknown), James N. Riggins, David A. Entwistle, (unknown), Daniel A. Gschwend, (unknown), Thomas S. Peat, Hélène Lebhar, Thierry Schlama, (unknown)	9
2	ArQiologist: An Integrated Decision Support Tool for Lead Optimization 2004 ·Journal of Chemical Information and Modeling ·Atipat Rojnuckarin, Daniel A. Gschwend, Sergio H. Rotstein, David S. Hartsough	12
3	Analysis and optimization of structure-based virtual screening protocols 2003 ·Journal of Molecular Graphics and Modelling ·(unknown), Roderick E. Hubbard, Daniel A. Gschwend, Andrew R. Leach, Andrew C. Good	18
4	Molecular modeling of G-protein coupled receptor kinase 2: Docking and biochemical evaluation of inhibitors 2000 ·PubMed ·Matthias U. Kassack, Petra Högger, Daniel A. Gschwend, Kimihiko Kameyama, Tatsuya Haga, (unknown), Wolfgang Sadée	17
5	Specificity in structure-based drug design: Identification of a novel, selective inhibitor ofPneumocystis carinii dihydrofolate reductase 1997 ·Proteins Structure Function and Bioinformatics ·Daniel A. Gschwend, Worachart Sirawaraporn, Daniel V. Santi, Irwin D. Kuntz	30
6	Specificity in structure-based drug design: identification of a novel, selective inhibitor of Pneumocystis carinii dihydrofolate reductase. 1997 ·PubMed ·Daniel A. Gschwend, Worachart Sirawaraporn, Daniel V. Santi, Irwin D. Kuntz	36
7	Specificity in structure‐based drug design: Identification of a novel, selective inhibitor of Pneumocystis carinii dihydrofolate reductase 1997 ·Proteins Structure Function and Bioinformatics ·Daniel A. Gschwend, Worachart Sirawaraporn, Daniel V. Santi, Irwin D. Kuntz	0
8	Orientational sampling and rigid-body minimization in molecular docking revisited: On-the-fly optimization and degeneracy removal 1996 ·Journal of Computer-Aided Molecular Design ·Daniel A. Gschwend, Irwin D. Kuntz	66
9	Molecular docking towards drug discovery 1996 ·Journal of Molecular Recognition ·Daniel A. Gschwend, Andrew C. Good, Irwin D. Kuntz	207
10	New molecular shape descriptors: Application in database screening 1995 ·Journal of Computer-Aided Molecular Design ·Andrew C. Good, Todd Ewing, Daniel A. Gschwend, Irwin D. Kuntz	34
11	Orientational sampling and rigid‐body minimization in molecular docking 1993 ·Proteins Structure Function and Bioinformatics ·Elaine C. Meng, Daniel A. Gschwend, Jeffrey M. Blaney, Irwin D. Kuntz	117

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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