David C. Kombo

498 total citations
24 papers, 396 citations indexed

About

David C. Kombo is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, David C. Kombo has authored 24 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Computational Theory and Mathematics. Recurrent topics in David C. Kombo's work include Nicotinic Acetylcholine Receptors Study (11 papers), Receptor Mechanisms and Signaling (10 papers) and Computational Drug Discovery Methods (7 papers). David C. Kombo is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (11 papers), Receptor Mechanisms and Signaling (10 papers) and Computational Drug Discovery Methods (7 papers). David C. Kombo collaborates with scholars based in United States, United Kingdom and Tanzania. David C. Kombo's co-authors include Joseph H. Chewning, Terry A. Hauser, Anatoly Mazurov, Jason D. Speake, Rachit Jain, Daniel Yohannes, Merouane Bencherif, Roman Osman, Philip S. Hammond and David L. Beveridge and has published in prestigious journals such as Journal of Molecular Biology, Journal of Medicinal Chemistry and The Journal of Physical Chemistry A.

In The Last Decade

David C. Kombo

22 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Kombo United States 10 247 116 106 68 45 24 396
Lewis Whitehead Switzerland 8 341 1.4× 89 0.8× 59 0.6× 27 0.4× 35 0.8× 12 426
Dora M. Schnur United States 11 269 1.1× 268 2.3× 135 1.3× 44 0.6× 36 0.8× 19 539
Brian B. Masek United States 13 225 0.9× 182 1.6× 200 1.9× 29 0.4× 66 1.5× 18 460
Tönu Kesvatera Estonia 9 196 0.8× 59 0.5× 67 0.6× 71 1.0× 61 1.4× 15 343
Vytautas Petrauskas Lithuania 12 236 1.0× 80 0.7× 53 0.5× 16 0.2× 64 1.4× 38 394
Luminita Damian Germany 8 198 0.8× 70 0.6× 67 0.6× 38 0.6× 69 1.5× 11 438
Guanghui Tian China 9 156 0.6× 124 1.1× 63 0.6× 38 0.6× 27 0.6× 31 309
Mark Lipton Canada 2 220 0.9× 160 1.4× 62 0.6× 21 0.3× 59 1.3× 5 439
Dorothy Levorse United States 11 185 0.7× 119 1.0× 59 0.6× 10 0.1× 49 1.1× 17 369
Magdalena Bacilieri Italy 14 273 1.1× 166 1.4× 131 1.2× 27 0.4× 21 0.5× 19 447

Countries citing papers authored by David C. Kombo

Since Specialization
Citations

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

Fields of papers citing papers by David C. Kombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Kombo

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

All Works

20 of 20 papers shown
1.
Kombo, David C. & Matthew J. LaMarche. (2025). The Logic of Chemical Optimization. Journal of Medicinal Chemistry. 68(11). 11572–11585.
2.
Kombo, David C., et al.. (2024). Application of artificial intelligence and machine learning techniques to the analysis of dynamic protein sequences. Proteins Structure Function and Bioinformatics. 92(10). 1234–1241.
3.
Kombo, David C., et al.. (2022). Confirmed diagnosis of classic Wiskott–Aldrich syndrome in East Africa: a case report. Journal of Medical Case Reports. 16(1). 301–301. 1 indexed citations
5.
Mazurov, Anatoly, David C. Kombo, Terry A. Hauser, et al.. (2013). Novel nicotinic acetylcholine receptor agonists containing carbonyl moiety as a hydrogen bond acceptor. Bioorganic & Medicinal Chemistry Letters. 23(13). 3927–3934. 12 indexed citations
6.
Kombo, David C., Anatoly Mazurov, Jon‐Paul Strachan, & Merouane Bencherif. (2013). Computational studies of novel carbonyl-containing diazabicyclic ligands interacting with α4β2 nicotinic acetylcholine receptor (nAChR) reveal alternative binding modes. Bioorganic & Medicinal Chemistry Letters. 23(18). 5105–5113. 7 indexed citations
7.
Kombo, David C., Vladimir P. Grinevich, Terry A. Hauser, Serguei S. Sidach, & Merouane Bencherif. (2013). QM-polarized ligand docking accurately predicts the trend in binding affinity of a series of arylmethylene quinuclidine-like derivatives at the α4β2 and α3β4 nicotinic acetylcholine receptors (nAChRs). Bioorganic & Medicinal Chemistry Letters. 23(17). 4842–4847. 3 indexed citations
8.
Kombo, David C., Rachit Jain, Joseph H. Chewning, et al.. (2012). 3D Molecular Descriptors Important for Clinical Success. Journal of Chemical Information and Modeling. 53(2). 327–342. 99 indexed citations
9.
Chewning, Joseph H., et al.. (2012). Making SharePoint® Chemically Aware™. Journal of Cheminformatics. 4(1). 1–1. 53 indexed citations
10.
Kombo, David C., Terry A. Hauser, Vladimir P. Grinevich, et al.. (2012). Pharmacological properties and predicted binding mode of arylmethylene quinuclidine-like derivatives at the α3β4 nicotinic acetylcholine receptor (nAChR). Bioorganic & Medicinal Chemistry Letters. 23(5). 1450–1455. 6 indexed citations
11.
Hauser, Terry A., David C. Kombo, Vladimir P. Grinevich, et al.. (2012). Comparison of acetylcholine receptor interactions of the marine toxins, 13-desmethylspirolide C and gymnodimine. Neuropharmacology. 62(7). 2239–2250. 37 indexed citations
12.
Mazurov, Anatoly, Jon‐Paul Strachan, David C. Kombo, et al.. (2012). Discovery of 3-(5-Chloro-2-furoyl)-3,7-diazabicyclo[3.3.0]octane (TC-6683, AZD1446), a Novel Highly Selective α4β2 Nicotinic Acetylcholine Receptor Agonist for the Treatment of Cognitive Disorders. Journal of Medicinal Chemistry. 55(21). 9181–9194. 29 indexed citations
13.
Kombo, David C., Anatoly Mazurov, Joseph H. Chewning, et al.. (2011). Discovery of novel α7 nicotinic acetylcholine receptor ligands via pharmacophoric and docking studies of benzylidene anabaseine analogs. Bioorganic & Medicinal Chemistry Letters. 22(2). 1179–1186. 16 indexed citations
14.
Kombo, David C., Anatoly Mazurov, Philip S. Hammond, et al.. (2011). Docking studies of benzylidene anabaseine interactions with α7 nicotinic acetylcholine receptor (nAChR) and acetylcholine binding proteins (AChBPs): Application to the design of related α7 selective ligands. European Journal of Medicinal Chemistry. 46(11). 5625–5635. 19 indexed citations
15.
Kombo, David C., B. Jayaram, Kevin J. McConnell, & David L. Beveridge. (2002). Calculation of the Affinity of the λ Repressor-Operator Complex Based on Free Energy Component Analysis. Molecular Simulation. 28(1-2). 187–211. 7 indexed citations
16.
Kombo, David C., Kevin J. McConnell, Matthew A. Young, & David L. Beveridge. (2001). Molecular dynamics simulation reveals sequence-intrinsic and protein-induced geometrical features of the OL1 DNA operator. Biopolymers. 59(4). 205–225. 4 indexed citations
17.
Kombo, David C., Matthew A. Young, & David L. Beveridge. (2000). One nanosecond molecular dynamics simulation of the N-terminal domain of the λ repressor protein. Biopolymers. 53(7). 596–605. 9 indexed citations
18.
Kombo, David C., Matthew A. Young, & David L. Beveridge. (2000). Molecular dynamics simulation accurately predicts the experimentally-observed distributions of the (C, N, O) protein atoms around water molecules and sodium ions. Proteins Structure Function and Bioinformatics. 39(3). 212–215. 4 indexed citations
19.
Kombo, David C., George Némethy, Kenneth D. Gibson, et al.. (1996). Effects on protein structure and function of replacing tryptophan with 5-hydroxytryptophan: Single-tryptophan mutants of the N-terminal domain of the bacteriophage λ repressor. Journal of Protein Chemistry. 15(1). 77–86. 3 indexed citations
20.
Kombo, David C., George Némethy, Kenneth D. Gibson, S. Rackovsky, & Harold A. Scheraga. (1996). Computer-aided Discrimination between Active and Inactive Mutants of the N-terminal Domain of the Bacteriophage λ Repressor. Journal of Molecular Biology. 256(3). 517–532. 4 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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