David Hecht

48 papers receiving 798 citations

Peers

David Hecht
Comparison fields: 5 of 118
  • Hepatology 87
  • Computational Theory and Mathematics 161
  • Filtration and Separation 19
  • Critical Care and Intensive Care Medicine 34
  • Spectroscopy 106
Replace John B. Jordan with:
John B. Jordan United States
Hui Guo China
Ravins Dohare India
Cornelia Ottiger Switzerland
Shi‐Shan Mao United States
Masaaki Hirano Japan
Satoshi Arakawa Japan
Mark A. McCoy United States
Douglas M. Surgenor United States
Teodora Ivanciuc United States
David Hecht relative to John B. Jordan United States John B. Jordan's profile →
Citations per field
00.5×10×15×19×
John B. Jordan · 1×
Citations per year

Countries citing papers authored by David Hecht

Since Specialization
Citations

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

Fields of papers citing papers by David Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Hecht, 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 Hecht Line = papers co-authored together David Hecht links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007162
2 199375
3 201553
4 201534
5 200932
6 201530
7 200730
8 201429
9 200925
10 199223
11 201021
12 199921
13 200721
14 200021
15 200720
16 200719
17 200119
18 200915
19 200215
20 201615

About David Hecht

David Hecht is a scholar working on Molecular Biology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Organic Chemistry and Materials Chemistry, having authored 49 papers that have together received 841 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Enzyme Structure and Function (4 papers), Multiple Myeloma Research and Treatments (4 papers), Protein Degradation and Inhibitors (4 papers), Malaria Research and Control (4 papers), Antibiotic Resistance in Bacteria (3 papers), Axial and Atropisomeric Chirality Synthesis (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Hepatology (87 citations), Computational Theory and Mathematics (161 citations), Filtration and Separation (19 citations), Critical Care and Intensive Care Medicine (34 citations) and Spectroscopy (106 citations). David Hecht has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Gary B. Fogel, Lee Walters, Jeffrey L. Gustafson, Mitchell L. Shiffman, Arnold L. Rheingold, Nezam H. Afdhal, Tilman Oltersdorf, Д. А. Шапиро, John G. McHutchison and Robert G. Gish. Their work appears in journals such as Journal of the American Chemical Society, Journal of Computer-Aided Molecular Design, Otolaryngology, Journal of Molecular Graphics and Modelling and Blood.

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