David C. Sullivan

1.0k total citations
21 papers, 814 citations indexed

About

David C. Sullivan is a scholar working on Molecular Biology, Materials Chemistry and Surgery. According to data from OpenAlex, David C. Sullivan has authored 21 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Materials Chemistry and 5 papers in Surgery. Recurrent topics in David C. Sullivan's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (5 papers) and Enzyme Structure and Function (5 papers). David C. Sullivan is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (5 papers) and Enzyme Structure and Function (5 papers). David C. Sullivan collaborates with scholars based in United States, Norway and Taiwan. David C. Sullivan's co-authors include Tamer Aboushwareb, James J. Yoo, Anthony Atala, Irwin D. Kuntz, Éric Martin, Daniel B. Deegan, Pedro M. Baptista, Sayed‐Hadi Mirmalek‐Sani, Sayed-Hadi Mirmalek-Sani and Bryon E. Petersen and has published in prestigious journals such as Biomaterials, The Journal of Physical Chemistry B and Annals of Surgery.

In The Last Decade

David C. Sullivan

21 papers receiving 790 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. Sullivan United States 12 506 396 327 176 105 21 814
Miljan Milošević Serbia 15 57 0.1× 227 0.6× 92 0.3× 347 2.0× 51 0.5× 59 671
Carly S. Filgueira United States 15 91 0.2× 118 0.3× 160 0.5× 269 1.5× 11 0.1× 35 685
Valentina Di Francesco United States 15 47 0.1× 69 0.2× 320 1.0× 68 0.4× 22 0.2× 32 553
Reza Zandi Shafagh Sweden 14 65 0.1× 24 0.1× 133 0.4× 367 2.1× 13 0.1× 23 654
Janick D. Stucki Switzerland 10 143 0.3× 74 0.2× 125 0.4× 763 4.3× 6 0.1× 20 972
Justin Chen United States 10 82 0.2× 179 0.5× 112 0.3× 160 0.9× 12 0.1× 34 558
Aya Shanti United Arab Emirates 13 24 0.0× 39 0.1× 92 0.3× 242 1.4× 23 0.2× 18 467
R. Baudoin France 12 109 0.2× 65 0.2× 174 0.5× 526 3.0× 11 0.1× 13 698
Meiling Zhou China 11 63 0.1× 67 0.2× 166 0.5× 61 0.3× 8 0.1× 26 482

Countries citing papers authored by David C. Sullivan

Since Specialization
Citations

This map shows the geographic impact of David C. Sullivan'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. Sullivan 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. Sullivan more than expected).

Fields of papers citing papers by David C. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Sullivan. A scholar is included among the top collaborators of David C. Sullivan 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. Sullivan. David C. Sullivan 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.
Lin, Hui‐Ming, Paul Bonnitcha, David C. Sullivan, et al.. (2024). Evolocumab in metastatic castration-resistant prostate cancer: study protocol for a single-arm, phase II trial, and initial experience with use of a validated lipid biomarker to direct therapy. Therapeutic Advances in Medical Oncology. 16. 12752550–12752550. 2 indexed citations
2.
Sullivan, David C., et al.. (2015). Current Translational Challenges for Tissue Engineering: 3D Culture, Nanotechnology, and Decellularized Matrices. Current Pathobiology Reports. 3(1). 99–106. 3 indexed citations
3.
Mirmalek-Sani, Sayed-Hadi, et al.. (2013). Immunogenicity of Decellularized Porcine Liver for Bioengineered Hepatic Tissue. American Journal Of Pathology. 183(2). 558–565. 94 indexed citations
4.
Sullivan, David C., Sayed‐Hadi Mirmalek‐Sani, Daniel B. Deegan, et al.. (2012). Decellularization methods of porcine kidneys for whole organ engineering using a high-throughput system. Biomaterials. 33(31). 7756–7764. 276 indexed citations
5.
Orlando, Giuseppe, Alan C. Farney, Samy S. Iskandar, et al.. (2012). Production and Implantation of Renal Extracellular Matrix Scaffolds From Porcine Kidneys as a Platform for Renal Bioengineering Investigations. Annals of Surgery. 256(2). 363–370. 173 indexed citations
6.
Whitmer, Kyra, et al.. (2011). Digital image analysis of facial erythema over time in persons with varied skin pigmentation. Skin Research and Technology. 17(3). 348–352. 12 indexed citations
7.
Martin, Éric, Prasenjit Mukherjee, David C. Sullivan, & Johanna M. Jansen. (2011). Profile-QSAR: A Novel meta-QSAR Method that Combines Activities across the Kinase Family To Accurately Predict Affinity, Selectivity, and Cellular Activity. Journal of Chemical Information and Modeling. 51(8). 1942–1956. 52 indexed citations
8.
Visscher, Marty O., et al.. (2009). Quantitation of epidermal and mucosal tissue injury using contrast agents and imaging techniques. Skin Research and Technology. 15(2). 180–186. 4 indexed citations
9.
Sullivan, David C., et al.. (2009). Discriminating colors through a red filter by protanopes and colour normals. Ophthalmic and Physiological Optics. 30(1). 66–75. 8 indexed citations
10.
Sullivan, David C., et al.. (2008). Use of digital photography and image analysis techniques to quantify erythema in health care workers. Skin Research and Technology. 15(1). 24–34. 19 indexed citations
11.
Martin, Éric & David C. Sullivan. (2008). AutoShim: Empirically Corrected Scoring Functions for Quantitative Docking with a Crystal Structure and IC50 Training Data. Journal of Chemical Information and Modeling. 48(4). 861–872. 29 indexed citations
12.
Sullivan, David C. & Éric Martin. (2008). Exploiting Structure–Activity Relationships in Docking. Journal of Chemical Information and Modeling. 48(4). 817–830. 6 indexed citations
13.
Sullivan, David C. & Éric Martin. (2008). ChemInform Abstract: Exploiting Structure—Activity Relationships in Docking.. ChemInform. 39(29). 1 indexed citations
14.
Sullivan, David C. & Carmay Lim. (2006). Toward Absolute Density of States Calculations for Proteins. The Journal of Physical Chemistry B. 110(24). 12125–12128. 2 indexed citations
15.
Sullivan, David C. & Carmay Lim. (2006). Quantifying Polypeptide Conformational Space:  Sensitivity to Conformation and Ensemble Definition. The Journal of Physical Chemistry B. 110(33). 16707–16717. 3 indexed citations
16.
Sullivan, David C. & Irwin D. Kuntz. (2004). Distributions in Protein Conformation Space: Implications for Structure Prediction and Entropy. Biophysical Journal. 87(1). 113–120. 24 indexed citations
17.
Sullivan, David C. & Carmay Lim. (2004). Configurational Entropy of Proteins: Covariance Matrix versus Cumulative Distribution Calculations. Journal of the Chinese Chemical Society. 51(5B). 1209–1219. 3 indexed citations
18.
Sullivan, David C., et al.. (2003). Information Content of Molecular Structures. Biophysical Journal. 85(1). 174–190. 17 indexed citations
19.
Sullivan, David C. & Irwin D. Kuntz. (2002). Protein Folding as Biased Conformational Diffusion. The Journal of Physical Chemistry B. 106(12). 3255–3262. 29 indexed citations
20.
Sullivan, David C. & Irwin D. Kuntz. (2001). Conformation spaces of proteins. Proteins Structure Function and Bioinformatics. 42(4). 495–511. 32 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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