David Hangauer

2.5k citations
64 papers · 2.0k indexed · h-index 27

Impact in

Papers in

    • Protein Structure and Dynamics 16
    • Chemical Synthesis and Analysis 15
    • PI3K/AKT/mTOR signaling in cancer 4
    • HER2/EGFR in Cancer Research 6

David Hangauer

64 papers receiving 1.9k citations

Peers

David Hangauer
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 350
  • Physical and Theoretical Chemistry 167
  • Molecular Biology 1.3k
  • Organic Chemistry 524
  • Oncology 353
Replace John S. Sack with:
John S. Sack United States
Yuk Y. Sham United States
Ran Friedman Sweden
Roberto Battistutta Italy
Regine S. Bohacek United States
Jörg Benz Switzerland
Hugo O. Villar United States
Annick Dejaegere France
Ursula Egner Germany
Scott D. Bembenek United States
David Hangauer relative to John S. Sack United States John S. Sack's profile →
Citations per field
00.5×3.0×
John S. Sack · 1×
Citations per year

Countries citing papers authored by David Hangauer

Since Specialization
Citations

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

Fields of papers citing papers by David Hangauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Hangauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Hangauer Line = papers co-authored together David Hangauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984216
2 2010127
3 2013122
4 2009104
5 198996
6 201076
7 201076
8 201872
9 201157
10 201356
11 200855
12 201151
13 198350
14 201045
15 201244
16 200944
17 200543
18 199241
19 201239
20 199637

About David Hangauer

David Hangauer is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Organic Chemistry and Hematology, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Chemical Synthesis and Analysis (15 papers), Computational Drug Discovery Methods (9 papers), HER2/EGFR in Cancer Research (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Enzyme Structure and Function (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Computational Theory and Mathematics (350 citations), Physical and Theoretical Chemistry (167 citations), Molecular Biology (1.3k citations), Organic Chemistry (524 citations) and Oncology (353 citations). David Hangauer has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include G. Klebe, A. Heine, A.F. Monzingo, Brian W. Matthews, Bernhard Baum, Michael Smolinski, J. Biela, W. J. GREENLEE, Mohamed F. Zayed and Michael Betz. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Molecular Biology, Bioorganic & Medicinal Chemistry Letters, Cancer Research and European Journal of Medicinal Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026