Richard D. Cramer

15.9k citations

83 papers · 12.3k indexed · 4 hit papers · h-index 41

Computational Theory and Mathematics top 0.02%
Molecular Biology top 1%
Organic Chemistry top 0.2%
Spectroscopy top 0.5%
Materials Chemistry top 5%

Co-authors: David E. Patterson Jeffrey D. Bunce Matthew Clark N. Van Opdenbosch Ildiko E. Frank Robert D. Clark R. V. Lindsey Allan M. Ferguson
Topics: Computational Drug Discovery Methods (37 papers)Chemical Synthesis and Analysis (13 papers)Analytical Chemistry and Chromatography (10 papers)
Cited by: Computational Theory and Mathematics Organic Chemistry Spectroscopy
Journals: Journal of the American Chemical Society Accounts of Chemical Research PLoS ONE
Partner nations: United States Japan Netherlands

In The Last Decade

Richard D. Cramer

82 papers receiving 11.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins

1988 3.2k citations Richard D. Cramer, David E. Patterson et al. Journal of the American Chemical Society profile →
Validation of the general purpose tripos 5.2 force field

1989 2.6k citations Matthew Clark, Richard D. Cramer et al. profile →
QSAR Modeling: Where Have You Been? Where Are You Going To?

2013 1.4k citations Richard D. Cramer et al. Journal of Medicinal Chemistry profile →
Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies

1988 749 citations Richard D. Cramer, Jeffrey D. Bunce et al. profile →

Peers

Countries citing papers authored by Richard D. Cramer

Since Specialization

Citations

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

Fields of papers citing papers by Richard D. Cramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard D. Cramer. 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 Richard D. Cramer. The network helps show where Richard D. Cramer may publish in the future.

Co-authorship network of co-authors of Richard D. Cramer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Teaching and Learning Computational Drug Design: Student Investigations of 3D Quantitative Structure–Activity Relationships through Web Applications 2020 ·Journal of Chemical Education ·Rino Ragno,(unknown),(unknown),(unknown),(unknown),Richard D. Cramer	33
2	Template CoMFA Generates Single 3D-QSAR Models that, for Twelve of Twelve Biological Targets, Predict All ChEMBL-Tabulated Affinities 2015 ·PLoS ONE ·Richard D. Cramer	10
3	Template CoMFA Applied to 116 Biological Targets 2014 ·Journal of Chemical Information and Modeling ·Richard D. Cramer	4
4	R-group template CoMFA combines benefits of “ad hoc” and topomer alignments using 3D-QSAR for lead optimization 2012 ·Journal of Computer-Aided Molecular Design ·Richard D. Cramer	17
5	The inevitable QSAR renaissance 2011 ·Journal of Computer-Aided Molecular Design ·Richard D. Cramer	50
6	Tautomers and topomers: challenging the uncertainties of direct physicochemical modeling 2010 ·Journal of Computer-Aided Molecular Design ·Richard D. Cramer	5
7	Rethinking 3D-QSAR 2010 ·Journal of Computer-Aided Molecular Design ·Richard D. Cramer	17
8	AllChem: generating and searching 1020 synthetically accessible structures 2007 ·Journal of Computer-Aided Molecular Design ·Richard D. Cramer,(unknown),Robert J. Jilek,(unknown)	39
9	Pushing the boundaries of 3D-QSAR 2007 ·Journal of Computer-Aided Molecular Design ·Richard D. Cramer,Bernd Wendt	32
10	Leadhopping – and beyond 2006 ·Expert Opinion on Drug Discovery ·Richard D. Cramer	4
11	The effect of different condylar positions on masticatory muscle electromyographic activity in humans 1998 ·Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology ·(unknown),Richard D. Cramer	25
12	Neighborhood Behavior: A Useful Concept for Validation of “Molecular Diversity” Descriptors 1996 ·Journal of Medicinal Chemistry ·David E. Patterson,Richard D. Cramer,Allan M. Ferguson,Robert D. Clark,(unknown)	383
13	Comparative molecular field analysis (CoMFA). 2. Toward its use with 3D-structural databases 1990 ·Matthew Clark,Richard D. Cramer,(unknown),David E. Patterson,(unknown)	172
14	Recent advances in comparative molecular field analysis (CoMFA). 1989 ·PubMed ·Richard D. Cramer,David E. Patterson,Jeffrey D. Bunce	105
15	"Hydrophobic interaction" and solvation energies: discrepancies between theory and experimental data 1977 ·Journal of the American Chemical Society ·Richard D. Cramer	44
16	Computer-assisted synthetic analysis. Facile man-machine communication of chemical structure by interactive computer graphics 1972 ·Journal of the American Chemical Society ·E. J. Corey,W. Todd Wipke,Richard D. Cramer,W. Jeffrey Howe	66
17	Transition metal catalysis exemplified by some rhodium-promoted reactions of olefins 1968 ·Accounts of Chemical Research ·Richard D. Cramer	61
18	Five-Coordinate Platinum(II) Complexes 1965 ·Journal of the American Chemical Society ·Richard D. Cramer,R. V. Lindsey,C. T. Prewitt,U. G. Stolberg	53
19	Isoxazole Derivatives from Acetylene and Nitrogen Oxides 1961 ·The Journal of Organic Chemistry ·Richard D. Cramer,W. R. McClellan	7
20	Bifurandione. I. Preparation and Characterization 1959 ·Journal of the American Chemical Society ·(unknown),Richard D. Cramer,V. A. Engelhardt,T.A. Ford,(unknown),(unknown)	26

About Richard D. Cramer

Richard D. Cramer is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Organic Chemistry, having authored 83 papers that have together received 12.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Chemical Synthesis and Analysis (13 papers) and Analytical Chemistry and Chromatography (10 papers). The work is most often cited by research in Computational Theory and Mathematics (5.7k citations), Organic Chemistry (4.4k citations) and Spectroscopy (1.5k citations). Richard D. Cramer has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include David E. Patterson, Jeffrey D. Bunce, Matthew Clark, N. Van Opdenbosch, Ildiko E. Frank, Robert D. Clark, R. V. Lindsey, Allan M. Ferguson, Robert J. Jilek and Ann M. Richard. Their work appears in journals such as Journal of the American Chemical Society, Accounts of Chemical Research and PLoS ONE.

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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