Omar Davulcu

1.1k total citations · 1 hit paper
24 papers, 798 citations indexed

About

Omar Davulcu is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Omar Davulcu has authored 24 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Materials Chemistry. Recurrent topics in Omar Davulcu's work include Virus-based gene therapy research (8 papers), Enzyme Structure and Function (7 papers) and Protein Structure and Dynamics (6 papers). Omar Davulcu is often cited by papers focused on Virus-based gene therapy research (8 papers), Enzyme Structure and Function (7 papers) and Protein Structure and Dynamics (6 papers). Omar Davulcu collaborates with scholars based in United States, United Kingdom and Netherlands. Omar Davulcu's co-authors include Michael S. Chapman, Nancy Meyer, Jan E. Carette, Andreas S. Puschnik, Jonathan Wosen, Lucas T. Jae, Claude M. Nagamine, Sureshnee Pillay, Yoshihiro Ishikawa and Jonathan Diep and has published in prestigious journals such as Nature, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Omar Davulcu

21 papers receiving 782 citations

Hit Papers

An essential receptor for adeno-associated virus infection 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omar Davulcu United States 12 587 514 115 106 84 24 798
Kristin Leike Germany 9 1.5k 2.5× 791 1.5× 118 1.0× 141 1.3× 116 1.4× 9 1.7k
Nilakshee Bhattacharya United States 15 425 0.7× 278 0.5× 72 0.6× 71 0.7× 58 0.7× 21 647
Hyun-Joo Nam United States 17 814 1.4× 706 1.4× 154 1.3× 198 1.9× 130 1.5× 24 1.2k
Duncan Sousa United States 14 357 0.6× 228 0.4× 126 1.1× 101 1.0× 65 0.8× 24 593
Michael A. Lochrie United States 14 1.1k 1.9× 478 0.9× 89 0.8× 98 0.9× 85 1.0× 15 1.4k
Lydia F. Dorner United States 16 1.1k 2.0× 366 0.7× 246 2.1× 126 1.2× 49 0.6× 21 1.4k
Kathleen Hehir United States 15 973 1.7× 791 1.5× 47 0.4× 182 1.7× 114 1.4× 18 1.5k
Gianluca Petris Italy 17 857 1.5× 183 0.4× 57 0.5× 48 0.5× 49 0.6× 23 1.0k
Sirika Pillay United States 11 511 0.9× 396 0.8× 76 0.7× 104 1.0× 76 0.9× 12 710

Countries citing papers authored by Omar Davulcu

Since Specialization
Citations

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

Fields of papers citing papers by Omar Davulcu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Davulcu

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Davulcu. A scholar is included among the top collaborators of Omar Davulcu 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 Omar Davulcu. Omar Davulcu 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.
Schnicker, Nicholas, Nicholas Spellmon, Zhen Xu, et al.. (2025). LARGE1 processively polymerizes length-controlled matriglycan on prodystroglycan. Nature Communications. 16(1). 9028–9028.
2.
Yoshioka, Craig, et al.. (2024). What Does “Training to Independence” Mean for Cryo-EM?. Microscopy and Microanalysis. 30(Supplement_1).
3.
Myers, Janette B., et al.. (2024). A strategic approach for efficient cryo-EM grid optimization using design of experiments. Journal of Structural Biology. 217(1). 108068–108068.
4.
Davulcu, Omar, et al.. (2024). Cryoem Structures and Conformational Landscapes of Activated Blood Coagulation Factor VIII and the Intrinsic Tenase Complex. Blood. 144(Supplement 1). 428–428. 1 indexed citations
5.
Cowper, Ben, Omar Davulcu, Pete Lollar, et al.. (2024). Structural basis for inhibition of coagulation factor VIII reveals a shared antigenic hotspot on the C1 domain. Journal of Thrombosis and Haemostasis. 22(9). 2449–2459. 1 indexed citations
6.
Davulcu, Omar, et al.. (2023). Structure of coagulation factor VIII bound to a patient-derived anti-C1 domain antibody inhibitor. Blood. 142(2). 197–201. 3 indexed citations
7.
Stagg, Scott M., Craig Yoshioka, Omar Davulcu, & Michael S. Chapman. (2022). Cryo-electron Microscopy of Adeno-associated Virus. Chemical Reviews. 122(17). 14018–14054. 31 indexed citations
8.
Meyer, Nancy, Omar Davulcu, Qing Xie, et al.. (2020). Expression and Purification of Adeno-associated Virus Virus-like Particles in a Baculovirus System and AAVR Ectodomain Constructs in E. coli. BIO-PROTOCOL. 10(3). 6 indexed citations
9.
Meyer, Nancy, Guiqing Hu, Omar Davulcu, et al.. (2019). Structure of the gene therapy vector, adeno-associated virus with its cell receptor, AAVR. eLife. 8. 61 indexed citations
10.
Xie, Qing, Alex J. Noble, Duncan Sousa, et al.. (2017). The 2.8 Å Electron Microscopy Structure of Adeno-Associated Virus-DJ Bound by a Heparinoid Pentasaccharide. Molecular Therapy — Methods & Clinical Development. 5. 1–12. 31 indexed citations
11.
Davulcu, Omar, Yu Peng, Rafael Brüschweiler, Jack J. Skalicky, & Michael S. Chapman. (2017). Elevated μs-ms timescale backbone dynamics in the transition state analog form of arginine kinase. Journal of Structural Biology. 200(3). 258–266. 2 indexed citations
12.
Pillay, Sureshnee, Nancy Meyer, Andreas S. Puschnik, et al.. (2016). An essential receptor for adeno-associated virus infection. Nature. 530(7588). 108–112. 350 indexed citations breakdown →
13.
Davulcu, Omar, et al.. (2016). The Sampling of Conformational Dynamics in Ambient-Temperature Crystal Structures of Arginine Kinase. Structure. 24(10). 1658–1667. 8 indexed citations
14.
Davulcu, Omar, et al.. (2015). Parsimony in Protein Conformational Change. Structure. 23(7). 1190–1198. 7 indexed citations
15.
Davulcu, Omar, Xiaogang Niu, Lei Bruschweiler‐Li, et al.. (2013). Backbone resonance assignments of the 42 kDa enzyme arginine kinase in the transition state analogue form. Biomolecular NMR Assignments. 8(2). 335–338. 3 indexed citations
16.
Zhang, Fuming, Qing Xie, Thomas F. Lerch, et al.. (2013). Characterization of Interactions between Heparin/Glycosaminoglycan and Adeno-Associated Virus. Biochemistry. 52(36). 6275–6285. 32 indexed citations
17.
Davulcu, Omar, et al.. (2012). Crystal structures of arginine kinase in complex with ADP, nitrate, and various phosphagen analogs. Biochemical and Biophysical Research Communications. 427(1). 212–217. 13 indexed citations
18.
Davulcu, Omar, Felcy Fabiola, Qing Xie, et al.. (2011). The Structure of Lombricine Kinase. Journal of Biological Chemistry. 286(11). 9338–9350. 25 indexed citations
19.
Niu, Xiaogang, Lei Bruschweiler‐Li, Omar Davulcu, et al.. (2010). Arginine Kinase: Joint Crystallographic and NMR RDC Analyses Link Substrate-Associated Motions to Intrinsic Flexibility. Journal of Molecular Biology. 405(2). 479–496. 31 indexed citations
20.
Davulcu, Omar, Peter F. Flynn, Michael S. Chapman, & Jack J. Skalicky. (2009). Intrinsic Domain and Loop Dynamics Commensurate with Catalytic Turnover in an Induced-Fit Enzyme. Structure. 17(10). 1356–1367. 24 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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