Eugene M. Fluder

2.8k total citations
16 papers, 812 citations indexed

About

Eugene M. Fluder is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Eugene M. Fluder has authored 16 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Spectroscopy. Recurrent topics in Eugene M. Fluder's work include Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (4 papers) and Analytical Chemistry and Chromatography (4 papers). Eugene M. Fluder is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (4 papers) and Analytical Chemistry and Chromatography (4 papers). Eugene M. Fluder collaborates with scholars based in United States and Japan. Eugene M. Fluder's co-authors include Robert P. Sheridan, Simon K. Kearsley, Peter Gund, H. Bernhard Schlegel, Suresh B. Singh, Joseph D. Andose, Ralph T. Mosley, Jose R. De la Vega, Brian M. McKeever and Manuel A. Navia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Annals of the New York Academy of Sciences.

In The Last Decade

Eugene M. Fluder

16 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eugene M. Fluder United States	10	398	317	197	127	124	16	812
Alba T. Macias United States	17	788 2.0×	149 0.5×	257 1.3×	191 1.5×	115 0.9×	36	1.3k
John Eksterowicz United States	16	374 0.9×	198 0.6×	272 1.4×	87 0.7×	73 0.6×	26	886
Mehran Jalaie United States	16	454 1.1×	312 1.0×	218 1.1×	97 0.8×	95 0.8×	25	794
David Buttar United Kingdom	18	288 0.7×	233 0.7×	195 1.0×	128 1.0×	316 2.5×	31	830
Martin Peters United States	14	625 1.6×	230 0.7×	234 1.2×	76 0.6×	139 1.1×	21	940
Edward E. Hodgkin United Kingdom	11	441 1.1×	291 0.9×	189 1.0×	157 1.2×	104 0.8×	14	736
Irene Nobeli United Kingdom	19	1.1k 2.7×	278 0.9×	154 0.8×	132 1.0×	247 2.0×	42	1.5k
Fredy Sussman Spain	16	963 2.4×	188 0.6×	230 1.2×	152 1.2×	289 2.3×	43	1.4k
Boryeu Mao United States	16	493 1.2×	197 0.6×	71 0.4×	84 0.7×	98 0.8×	26	695
Ellen R. Laird United States	19	597 1.5×	187 0.6×	464 2.4×	57 0.4×	135 1.1×	33	1.3k

Countries citing papers authored by Eugene M. Fluder

Since Specialization

Citations

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

Fields of papers citing papers by Eugene M. Fluder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene M. Fluder. 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 Eugene M. Fluder. The network helps show where Eugene M. Fluder may publish in the future.

Co-authorship network of co-authors of Eugene M. Fluder

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

All Works

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16 of 16 papers shown

Singh, Suresh B., et al.. (2003). Text Influenced Molecular Indexing (TIMI): A Literature Database Mining Approach that Handles Text and Chemistry. Journal of Chemical Information and Computer Sciences. 43(3). 743–752. 14 indexed citations

Xie, Dexuan, Suresh B. Singh, Eugene M. Fluder, & Tamar Schlick. (2003). Principal component analysis combined with truncated-Newton minimization for dimensionality reduction of chemical databases. Mathematical Programming. 95(1). 161–185. 5 indexed citations

Sheridan, Robert P., Suresh B. Singh, Eugene M. Fluder, & Simon K. Kearsley. (2001). Protocols for Bridging the Peptide to Nonpeptide Gap in Topological Similarity Searches. Journal of Chemical Information and Computer Sciences. 41(5). 1395–1406. 101 indexed citations

Fluder, Eugene M., et al.. (2001). Chemical Similarity Searches Using Latent Semantic Structural Indexing (LaSSI) and Comparison to TOPOSIM. Journal of Medicinal Chemistry. 44(8). 1185–1191. 15 indexed citations

Singh, Suresh B., et al.. (2001). Latent Semantic Structure Indexing (LaSSI) for Defining Chemical Similarity. Journal of Medicinal Chemistry. 44(8). 1177–1184. 22 indexed citations

Singh, Suresh B., et al.. (2001). Mining the Chemical Quarry with Joint Chemical Probes: An Application of Latent Semantic Structure Indexing (LaSSI) and TOPOSIM (Dice) to Chemical Database Mining. Journal of Medicinal Chemistry. 44(10). 1564–1575. 12 indexed citations

Kearsley, Simon K., et al.. (1996). Chemical Similarity Using Physiochemical Property Descriptors. Journal of Chemical Information and Computer Sciences. 36(1). 118–127. 195 indexed citations

Losada, Maria C, et al.. (1995). rRNA operon restriction derived taxa forStreptomyces(RiDiTS). FEMS Microbiology Letters. 125(2-3). 149–1583. 1 indexed citations

Navia, Manuel A., Brian M. McKeever, James P. Springer, et al.. (1989). Structure of human neutrophil elastase in complex with a peptide chloromethyl ketone inhibitor at 1.84-A resolution.. Proceedings of the National Academy of Sciences. 86(1). 7–11. 205 indexed citations

10.

Hangauer, David, Peter Gund, Joseph D. Andose, et al.. (1985). Modeling the Mechanism of Peptide Cleavage by Thermolysin. Annals of the New York Academy of Sciences. 439(1). 124–139. 1 indexed citations

11.

Smith, Graham, David Hangauer, Joseph D. Andose, et al.. (1984). Intermolecular Modeling Methods in Drug Design/Modeling the Mechanism of Peptide Cleavage by Thermolysin. Drug Information Journal. 18(2). 167–178. 6 indexed citations

12.

Schlegel, H. Bernhard, Peter Gund, & Eugene M. Fluder. (1982). Tautomerization of formamide, 2-pyridone, and 4-pyridone: an ab initio study. Journal of the American Chemical Society. 104(20). 5347–5351. 172 indexed citations

13.

Fluder, Eugene M., et al.. (1980). ChemInform Abstract: EFFECT OF THE METHYL GROUP ROTATION ON THE RATE OF INTRAMOLECULAR PROTON EXCHANGE IN α‐METHYL‐β‐HYDROXYACROLEIN. Chemischer Informationsdienst. 11(36). 2 indexed citations

14.

Fluder, Eugene M., et al.. (1980). Effect of the methyl group rotation on the rate of intramolecular proton exchange in .alpha.-methyl-.beta.-hydroxyacrolein. Journal of the American Chemical Society. 102(12). 4000–4004. 17 indexed citations

15.

Fluder, Eugene M. & Jose R. De la Vega. (1978). Intramolecular hydrogen tunneling in malonaldehyde. Journal of the American Chemical Society. 100(17). 5265–5267. 36 indexed citations

16.

Fluder, Eugene M. & Jose R. De la Vega. (1978). Proper functional representation of symmetric double minimum potentials. Chemical Physics Letters. 59(3). 454–456. 8 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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