D. H. Robertson

6.0k total citations · 3 hit papers
61 papers, 4.6k citations indexed

About

D. H. Robertson is a scholar working on Materials Chemistry, Molecular Biology and Organic Chemistry. According to data from OpenAlex, D. H. Robertson has authored 61 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 13 papers in Molecular Biology and 11 papers in Organic Chemistry. Recurrent topics in D. H. Robertson's work include Carbon Nanotubes in Composites (11 papers), Fullerene Chemistry and Applications (9 papers) and High-pressure geophysics and materials (8 papers). D. H. Robertson is often cited by papers focused on Carbon Nanotubes in Composites (11 papers), Fullerene Chemistry and Applications (9 papers) and High-pressure geophysics and materials (8 papers). D. H. Robertson collaborates with scholars based in United States, United Kingdom and Switzerland. D. H. Robertson's co-authors include J. W. Mintmire, Michal Vieth, Guosheng Wu, Charles L. Brooks, Donald W. Brenner, C. T. White, Mehran Jalaie, Jon A. Erickson, Richard A. Lewis and Richard E. Higgs and has published in prestigious journals such as Physical Review Letters, Nature Medicine and The Journal of Chemical Physics.

In The Last Decade

D. H. Robertson

57 papers receiving 4.4k citations

Hit Papers

Detailed analysis of grid‐based molecular docking: A case... 1992 2026 2003 2014 2003 1992 1993 400 800 1.2k

Peers

D. H. Robertson
Jon R. Maple United States
A. J. Hopfinger United States
Michael L. Connolly United States
Marvin Waldman United States
Eva Darian United States
John B. O. Mitchell United Kingdom
Sander Pronk United States
J. Shim South Korea
Jon R. Maple United States
D. H. Robertson
Citations per year, relative to D. H. Robertson D. H. Robertson (= 1×) peers Jon R. Maple

Countries citing papers authored by D. H. Robertson

Since Specialization
Citations

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

Fields of papers citing papers by D. H. Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. H. Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of D. H. Robertson. A scholar is included among the top collaborators of D. H. Robertson 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 D. H. Robertson. D. H. Robertson 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.
Liu, Jiannan, Huanmei Wu, D. H. Robertson, & Jie Zhang. (2024). Text mining and portal development for gene-specific publications on Alzheimer’s disease and other neurodegenerative diseases. BMC Medical Informatics and Decision Making. 24(S3). 98–98. 2 indexed citations
2.
Takeuchi, Wataru, Rong Qi, Xia Ning, et al.. (2022). Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources. Journal of Biomedical Informatics. 129. 104001–104001. 4 indexed citations
3.
Ravizza, Stefan, Rolf Hinzmann, D. H. Robertson, et al.. (2018). Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data. Nature Medicine. 25(1). 57–59. 116 indexed citations
4.
Robertson, D. H., et al.. (2018). Predicting onset of complications from diabetes: a graph based approach. Applied Network Science. 3(1). 48–48. 14 indexed citations
5.
Vieth, Michal, Jeffrey J. Sutherland, D. H. Robertson, & Robert M. Campbell. (2005). Kinomics: characterizing the therapeutically validated kinase space. Drug Discovery Today. 10(12). 839–846. 133 indexed citations
6.
Hamdouchi, Chafiq, Boyu Zhong, J. S. MENDOZA, et al.. (2005). Structure-based design of a new class of highly selective aminoimidazo[1,2-a]pyridine-based inhibitors of cyclin dependent kinases. Bioorganic & Medicinal Chemistry Letters. 15(7). 1943–1947. 78 indexed citations
7.
Wu, Guosheng, D. H. Robertson, Charles L. Brooks, & Michal Vieth. (2003). Detailed analysis of grid‐based molecular docking: A case study of CDOCKER—A CHARMm‐based MD docking algorithm. Journal of Computational Chemistry. 24(13). 1549–1562. 1284 indexed citations breakdown →
8.
Vieth, Michal, et al.. (2003). Kinomics—structural biology and chemogenomics of kinase inhibitors and targets. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1697(1-2). 243–257. 140 indexed citations
9.
Lipkowitz, Kenny B. & D. H. Robertson. (2000). Conformer Hunting: An Open-Ended Computational Chemistry Exercise That Expresses Real-World Complexity and Student Forethought. Journal of Chemical Education. 77(2). 206–206.
10.
Swanson, David, J. W. Mintmire, D. H. Robertson, & C. T. White. (1998). Detonation Hugoniots from Molecular Dynamics Simulations.. Russian Journal of Physical Chemistry B. 18(10). 63–66. 1 indexed citations
11.
Elert, Mark, et al.. (1998). Molecular dynamics investigation of the effects of variation in energy release on detonation initiation. AIP conference proceedings. 293–296. 2 indexed citations
12.
Robertson, D. H., et al.. (1997). Self-Similar Behavior from Molecular Dynamics Simulations of Detonations. APS. 1 indexed citations
13.
Aprison, M. H., et al.. (1996). Glycine and GABA receptors: Molecular mechanisms controlling chloride ion flux. Journal of Neuroscience Research. 43(3). 372–381. 13 indexed citations
14.
White, C. T., et al.. (1996). Molecular dynamics study of chemistry from strong shock waves interacting with voids. AIP conference proceedings. 370. 187–190. 1 indexed citations
15.
Aprison, M. H., et al.. (1995). Identifying agonistic and antagonistic mechanisms operative at the GABA receptor. Journal of Neuroscience Research. 42(5). 666–673. 25 indexed citations
16.
Elert, Mark, D. H. Robertson, & C. T. White. (1995). Molecular Dynamics Study of the Effect of Varying Exothermicity on the Properties of Condensed-Phase Detonation. MRS Proceedings. 418. 2 indexed citations
17.
Robertson, D. H., Donald W. Brenner, & C. T. White. (1994). Molecular Dynamics Simulations of Hypervelocity Buckminsterfullerene Collisions. MRS Proceedings. 359. 1 indexed citations
18.
Brenner, Donald W., Brett I. Dunlap, Judith A. Harrison, et al.. (1991). Group-IV covalent clusters:Si45andC44versusSi44andC45. Physical review. B, Condensed matter. 44(7). 3479–3482. 18 indexed citations
19.
Reed, R. I., et al.. (1973). Criterion for the identification of low resolution mass spectra by retrieval from a data bank. International Journal of Mass Spectrometry and Ion Physics. 12(2). 123–131. 4 indexed citations
20.
Merritt, C., et al.. (1964). Qualitative Gas Chromatographic Analysis by Means of Retention Volume Constants -- Behavior of Isomers. Journal of Chromatographic Science. 2(4). 125–127. 2 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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