David Turbay

724 total citations
9 papers, 608 citations indexed

About

David Turbay is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, David Turbay has authored 9 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in David Turbay's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Platelet Disorders and Treatments (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). David Turbay is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Platelet Disorders and Treatments (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). David Turbay collaborates with scholars based in United States, Sweden and India. David Turbay's co-authors include Julio C. Delgado, Edmond J. Yunis, Juan J. Yunis, F. Ellis McKenzie, Anne E. Goldfeld, Daniel L. Hartl, Patricia A. Pesavento, JG Gribben, Kailash C. Bhol and Seigo Izumo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and ACS Applied Materials & Interfaces.

In The Last Decade

David Turbay

9 papers receiving 596 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 Turbay United States 9 195 195 168 145 132 9 608
Hans‐Peter Brezinschek Austria 16 156 0.8× 156 0.8× 475 2.8× 123 0.8× 142 1.1× 24 826
Daniel G. Arkfeld United States 15 66 0.3× 302 1.5× 264 1.6× 65 0.4× 111 0.8× 35 868
Satoshi Shiraishi Japan 15 95 0.5× 112 0.6× 197 1.2× 107 0.7× 203 1.5× 52 783
H.-P. Brezinschek Austria 11 181 0.9× 120 0.6× 630 3.8× 215 1.5× 186 1.4× 16 1.1k
G Tonietti Italy 19 312 1.6× 233 1.2× 530 3.2× 63 0.4× 126 1.0× 52 1.0k
Johannes von Kempis Switzerland 15 58 0.3× 362 1.9× 301 1.8× 92 0.6× 89 0.7× 49 755
Rong‐Long Chen Taiwan 16 152 0.8× 63 0.3× 289 1.7× 59 0.4× 134 1.0× 56 920
C.–C. Chan United States 13 89 0.5× 265 1.4× 371 2.2× 30 0.2× 219 1.7× 19 1.3k
Willem Verduyn Netherlands 15 65 0.3× 425 2.2× 568 3.4× 81 0.6× 109 0.8× 32 1.0k
J. A. Sachs United Kingdom 19 106 0.5× 167 0.9× 467 2.8× 57 0.4× 98 0.7× 52 1.1k

Countries citing papers authored by David Turbay

Since Specialization
Citations

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

Fields of papers citing papers by David Turbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Turbay

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

All Works

9 of 9 papers shown
1.
Islam, Tamanna, et al.. (2022). Detection of Anticancer Drug-Induced Cardiotoxicity Using VCAM1-Targeted Nanoprobes. ACS Applied Materials & Interfaces. 14(33). 37566–37576. 9 indexed citations
2.
Turbay, David, Patricia A. Pesavento, Julio C. Delgado, et al.. (1998). Identification of three new single nucleotide polymorphisms in the human tumor necrosis factor‐α gene promoter. Tissue Antigens. 52(4). 359–367. 211 indexed citations
3.
Clavijo, Olga P., Julio C. Delgado, Z Awdeh, et al.. (1998). HLA‐Cw alleles associated with HLA extended haplotypes and C2 deficiency. Tissue Antigens. 52(3). 282–285. 11 indexed citations
4.
Turbay, David, Amy W. Chung, Jau‐Nian Chen, et al.. (1998). Differential rescue of visceral and cardiac defects in Drosophila by vertebrate tinman -related genes. Proceedings of the National Academy of Sciences. 95(16). 9366–9371. 42 indexed citations
5.
Turbay, David, Jeffrey A. Lieberman, Chester A. Alper, et al.. (1997). Tumor Necrosis Factor Constellation Polymorphism and Clozapine-Induced Agranulocytosis in Two Different Ethnic Groups. Blood. 89(11). 4167–4174. 60 indexed citations
6.
Delgado, Julio C., Muriel Bozon, Marcela Salazar, et al.. (1996). MHC class II alleles and haplotypes in patients with pemphigus vulgaris from India. Tissue Antigens. 48(6). 668–672. 47 indexed citations
7.
Bozon, Muriel, Julio C. Delgado, David Turbay, et al.. (1996). Comparison of HLA‐A antigen typing by serology with two polymerase chain reaction based DNA typing methods: implications for proficiency testing. Tissue Antigens. 47(6). 512–518. 21 indexed citations
8.
Delgado, Julio C., David Turbay, E.J. Yunis, et al.. (1996). A common major histocompatibility complex class II allele HLA-DQB1* 0301 is present in clinical variants of pemphigoid.. Proceedings of the National Academy of Sciences. 93(16). 8569–8571. 157 indexed citations
9.
Turbay, David, et al.. (1996). Molecular Cloning, Chromosomal Mapping, and Characterization of the Human Cardiac-Specific Homeobox Gene hCsx. Molecular Medicine. 2(1). 86–96. 50 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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