David E. Guttman

1.1k citations
37 papers · 997 · h-index 16

Impact in

Papers in

David E. Guttman

36 papers receiving 852 citations

Peers

David E. Guttman
Comparison fields: 5 of 92
  • Pharmaceutical Science 142
  • Analytical Chemistry 157
  • Filtration and Separation 14
  • Pharmacology 66
  • Physical and Theoretical Chemistry 74
Replace Alessandra Pagliara with:
Alessandra Pagliara Switzerland
Leslie J. Saunders United Kingdom
Tsukinaka Yamana Japan
Jaime N. Delgado United States
Kiichiro Kakemi Japan
Sophie Martel Switzerland
Carlo Silipo Italy
Kenneth James United Kingdom
Robert A. Scherrer United States
Margaret S. Landis United States
David E. Guttman relative to Alessandra Pagliara Switzerland Alessandra Pagliara's profile →
Citations per field
00.5×1.5×2×2.4×
Alessandra Pagliara · 1×
Citations per year

Countries citing papers authored by David E. Guttman

Since Specialization
Citations

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

Fields of papers citing papers by David E. Guttman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside David E. Guttman, 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 E. Guttman Line = papers co-authored together David E. Guttman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968345
2 195764
3 196856
4 195654
5 197054
6 197040
7 195838
8 196235
9 196426
10 196122
11 196220
12 196618
13 197218
14 197417
15 196016
16 196616
17 196916
18 196414
19 196614
20 196511

About David E. Guttman

David E. Guttman is a scholar working on Analytical Chemistry, Physical and Theoretical Chemistry, Organic Chemistry, Pharmaceutical Science and Molecular Biology, having authored 37 papers that have together received 997 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (16 papers), Chemical Reaction Mechanisms (11 papers), Protein Interaction Studies and Fluorescence Analysis (11 papers), Drug Solubulity and Delivery Systems (6 papers), Surfactants and Colloidal Systems (4 papers), Photochemistry and Electron Transfer Studies (3 papers), Crystallography and molecular interactions (3 papers) and Electrostatics and Colloid Interactions (2 papers). The work is most often cited by research in Pharmaceutical Science (142 citations), Analytical Chemistry (157 citations), Filtration and Separation (14 citations), Pharmacology (66 citations) and Physical and Theoretical Chemistry (74 citations). David E. Guttman has collaborated with scholars based in United States and Australia. Frequent co-authors include Marvin C. Meyer, Takeru Higuchi, Dana Brooke, Q. Van Winkle, Gerhard Levy, William L. Hayton, John W. Shell, John G. Wagner, William E. Hamlin and Harry B. Kostenbauder. Their work appears in journals such as Journal of Pharmaceutical Sciences, Journal of the American Chemical Society, Journal of the American Pharmaceutical Association (Scientific ed ) and PubMed.

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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