Franco Lombardo

37.5k total citations · 4 hit papers
40 papers, 28.2k citations indexed

About

Franco Lombardo is a scholar working on Computational Theory and Mathematics, Spectroscopy and Pharmacology. According to data from OpenAlex, Franco Lombardo has authored 40 papers receiving a total of 28.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 21 papers in Spectroscopy and 11 papers in Pharmacology. Recurrent topics in Franco Lombardo's work include Computational Drug Discovery Methods (24 papers), Analytical Chemistry and Chromatography (21 papers) and Pharmacogenetics and Drug Metabolism (11 papers). Franco Lombardo is often cited by papers focused on Computational Drug Discovery Methods (24 papers), Analytical Chemistry and Chromatography (21 papers) and Pharmacogenetics and Drug Metabolism (11 papers). Franco Lombardo collaborates with scholars based in United States, Switzerland and United Kingdom. Franco Lombardo's co-authors include Christopher A. Lipinski, Beryl W. Dominy, R. Scott Obach, Marina Shalaeva, Nigel J. Waters, Feng Gao, Giuliano Berellini, K.A. Tupper, William Curatolo and James F. Blake and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Drug Delivery Reviews and Journal of Medicinal Chemistry.

In The Last Decade

Franco Lombardo

38 papers receiving 27.2k citations

Hit Papers

Experimental and computational approaches to estimate sol... 1997 2026 2006 2016 2001 1997 2012 2008 4.0k 8.0k 12.0k

Peers

Franco Lombardo
Beryl W. Dominy United States
Garrett M. Morris United Kingdom
Ruth Huey United States
David S. Goodsell United States
Oleg Trott United States
Thomas A. Halgren United States
Michel F. Sanner United States
Corwin Hansch United States
Franco Lombardo
Citations per year, relative to Franco Lombardo Franco Lombardo (= 1×) peers Christopher A. Lipinski

Countries citing papers authored by Franco Lombardo

Since Specialization
Citations

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

Fields of papers citing papers by Franco Lombardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franco Lombardo

This figure shows the co-authorship network connecting the top 25 collaborators of Franco Lombardo. A scholar is included among the top collaborators of Franco Lombardo 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 Franco Lombardo. Franco Lombardo 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.
Cui, Meng, Caitlin Cooper, William D. Long, et al.. (2025). Discovery and optimization of a novel carboxamide scaffold with selective antimalarial activity. European Journal of Medicinal Chemistry. 291. 117572–117572.
2.
Lombardo, Franco, Jörg Bentzien, Giuliano Berellini, & Ingo Muegge. (2020). In Silico Models of Human PK Parameters. Prediction of Volume of Distribution Using an Extensive Data Set and a Reduced Number of Parameters. Journal of Pharmaceutical Sciences. 110(1). 500–509. 30 indexed citations
3.
Berellini, Giuliano & Franco Lombardo. (2019). An Accurate In Vitro Prediction of Human VDss Based on the Øie–Tozer Equation and Primary Physicochemical Descriptors. 3. Analysis and Assessment of Predictivity on a Large Dataset. Drug Metabolism and Disposition. 47(12). 1380–1387. 20 indexed citations
4.
Lombardo, Franco, Giuliano Berellini, & R. Scott Obach. (2018). Trend Analysis of a Database of Intravenous Pharmacokinetic Parameters in Humans for 1352 Drug Compounds. Drug Metabolism and Disposition. 46(11). 1466–1477. 105 indexed citations
6.
Lombardo, Franco, et al.. (2016). Systematic Evaluation of Wajima Superposition (Steady-State Concentration to Mean Residence Time) in the Estimation of Human Intravenous Pharmacokinetic Profile. Journal of Pharmaceutical Sciences. 105(3). 1277–1287. 6 indexed citations
7.
Lombardo, Franco, Nigel J. Waters, Upendra A. Argikar, et al.. (2012). Comprehensive Assessment of Human Pharmacokinetic Prediction Based on In Vivo Animal Pharmacokinetic Data, Part 2: Clearance. The Journal of Clinical Pharmacology. 53(2). 178–191. 72 indexed citations
8.
Lombardo, Franco, Nigel J. Waters, Upendra A. Argikar, et al.. (2012). Comprehensive Assessment of Human Pharmacokinetic Prediction Based on In Vivo Animal Pharmacokinetic Data, Part 1: Volume of Distribution at Steady State. The Journal of Clinical Pharmacology. 53(2). 167–177. 57 indexed citations
9.
Gunduz, Mithat, et al.. (2012). Oxidative ipso Substitution of 2,4-Difluoro-benzylphthalazines: Identification of a Rare Stable Quinone Methide and Subsequent GSH Conjugate. Drug Metabolism and Disposition. 40(11). 2074–2080. 10 indexed citations
10.
Lipinski, Christopher A., et al.. (2012). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced Drug Delivery Reviews. 64. 4–17. 2468 indexed citations breakdown →
11.
Obach, R. Scott, Franco Lombardo, & Nigel J. Waters. (2008). Trend Analysis of a Database of Intravenous Pharmacokinetic Parameters in Humans for 670 Drug Compounds. Drug Metabolism and Disposition. 36(7). 1385–1405. 374 indexed citations breakdown →
13.
Kalgutkar, Amit S., Alfin D. N. Vaz, Mary E. Lame, et al.. (2004). BIOACTIVATION OF THE NONTRICYCLIC ANTIDEPRESSANT NEFAZODONE TO A REACTIVE QUINONE-IMINE SPECIES IN HUMAN LIVER MICROSOMES AND RECOMBINANT CYTOCHROME P450 3A4. Drug Metabolism and Disposition. 33(2). 243–253. 102 indexed citations
14.
Lombardo, Franco, Eric Gifford, & Marina Shalaeva. (2003). In Silico ADME Prediction: Data, Models, Facts and Myths. Mini-Reviews in Medicinal Chemistry. 3(8). 861–875. 89 indexed citations
15.
Lombardo, Franco, Steven M. Winter, Larry M. Tremaine, & John Lowe. (2002). The Anxieties of Drug Discovery and Development. Pharmaceutical biotechnology. 11. 465–479.
16.
Waterman, Kenneth C., Roger Adami, Karen M. Alsante, et al.. (2002). Hydrolysis in Pharmaceutical Formulations. Pharmaceutical Development and Technology. 7(2). 113–146. 107 indexed citations
17.
Waterman, Kenneth C., Roger Adami, Karen M. Alsante, et al.. (2002). Stabilization of Pharmaceuticals to Oxidative Degradation. Pharmaceutical Development and Technology. 7(1). 1–32. 154 indexed citations
18.
Lipinski, Christopher A., et al.. (2001). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings 1PII of original article: S0169-409X(96)00423-1. The article was originally published in Advanced Drug Delivery Reviews 23 (1997) 3–25. 1. Advanced Drug Delivery Reviews. 46(1-3). 3–26. 14442 indexed citations breakdown →
19.
Lombardo, Franco, et al.. (1999). Identification of photodegradants of droloxifene by combined HPLC--MS, NMR spectroscopy and computational chemistry. Journal of Physical Organic Chemistry. 12(12). 881–889. 1 indexed citations
20.
Lipinski, Christopher A., et al.. (1997). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced Drug Delivery Reviews. 23(1-3). 3–25. 8622 indexed citations breakdown →

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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