David D. Holcomb

565 total citations
11 papers, 207 citations indexed

About

David D. Holcomb is a scholar working on Molecular Biology, Hematology and Infectious Diseases. According to data from OpenAlex, David D. Holcomb has authored 11 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Infectious Diseases. Recurrent topics in David D. Holcomb's work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and vaccines and immunoinformatics approaches (2 papers). David D. Holcomb is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and vaccines and immunoinformatics approaches (2 papers). David D. Holcomb collaborates with scholars based in United States. David D. Holcomb's co-authors include Chava Kimchi‐Sarfaty, Jacob Kames, Nobuko Hamasaki‐Katagiri, Aikaterini Alexaki, Anton A. Komar, Haim Bar, John C. Athey, Luis V. Santana‐Quintero, Vahan Simonyan and Ekaterina Osipova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

David D. Holcomb

10 papers receiving 204 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 D. Holcomb United States 7 135 64 26 25 21 11 207
Jacob Kames United States 7 142 1.1× 64 1.0× 24 0.9× 27 1.1× 22 1.0× 10 218
Tammy C. T. Lan United States 5 238 1.8× 62 1.0× 18 0.7× 26 1.0× 39 1.9× 7 316
Jonathan B Asfaha United States 4 181 1.3× 112 1.8× 15 0.6× 44 1.8× 27 1.3× 4 279
Sabine Stampfl Austria 5 274 2.0× 42 0.7× 31 1.2× 33 1.3× 22 1.0× 5 325
Tyler Mrozowich Canada 9 223 1.7× 31 0.5× 16 0.6× 13 0.5× 21 1.0× 17 295
Xin Ni Lim Singapore 5 328 2.4× 45 0.7× 12 0.5× 13 0.5× 23 1.1× 7 365
Bastian Grewe Germany 11 188 1.4× 49 0.8× 33 1.3× 14 0.6× 17 0.8× 12 312
Jennifer Risso-Ballester Spain 6 164 1.2× 61 1.0× 31 1.2× 26 1.0× 25 1.2× 10 320
Irene Díaz‐López Spain 8 169 1.3× 25 0.4× 11 0.4× 11 0.4× 22 1.0× 11 222
Jong Ghut Ashley Aw Singapore 4 371 2.7× 47 0.7× 9 0.3× 17 0.7× 24 1.1× 7 407

Countries citing papers authored by David D. Holcomb

Since Specialization
Citations

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

Fields of papers citing papers by David D. Holcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. Holcomb

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

All Works

11 of 11 papers shown
1.
Meyer, Douglas, David D. Holcomb, Jacob Kames, et al.. (2022). Synonymous ADAMTS13 variants impact molecular characteristics and contribute to variability in active protein abundance. Blood Advances. 6(18). 5364–5378. 2 indexed citations
2.
Katneni, Upendra, Aikaterini Alexaki, Ryan Hunt, et al.. (2022). Structural, functional, and immunogenicity implications of F9 gene recoding. Blood Advances. 6(13). 3932–3944. 7 indexed citations
3.
Holcomb, David D., Aikaterini Alexaki, Ryan Hunt, et al.. (2021). Gene variants of coagulation related proteins that interact with SARS-CoV-2. PLoS Computational Biology. 17(3). e1008805–e1008805. 15 indexed citations
4.
Holcomb, David D., Jacob Kames, Anton A. Komar, et al.. (2021). In Silico Evaluation of Cyclophilin Inhibitors as Potential Treatment for SARS-CoV-2. Open Forum Infectious Diseases. 8(6). 6 indexed citations
5.
Holcomb, David D., Nobuko Hamasaki‐Katagiri, Upendra Katneni, et al.. (2021). New approaches to predict the effect of co-occurring variants on protein characteristics. The American Journal of Human Genetics. 108(8). 1502–1511. 5 indexed citations
6.
Deng, Lu, Lilin Zhong, David D. Holcomb, et al.. (2021). A conserved epitope III on hepatitis C virus E2 protein has alternate conformations facilitating cell binding or virus neutralization. Proceedings of the National Academy of Sciences. 118(28).
7.
Kames, Jacob, David D. Holcomb, Michael DiCuccio, et al.. (2020). Sequence analysis of SARS-CoV-2 genome reveals features important for vaccine design. Scientific Reports. 10(1). 15643–15643. 40 indexed citations
8.
Kames, Jacob, Aikaterini Alexaki, David D. Holcomb, et al.. (2020). TissueCoCoPUTs: Novel Human Tissue-Specific Codon and Codon-Pair Usage Tables Based on Differential Tissue Gene Expression. Journal of Molecular Biology. 432(11). 3369–3378. 26 indexed citations
9.
Katneni, Upendra, David D. Holcomb, Nobuko Hamasaki‐Katagiri, et al.. (2020). In silico features of ADAMTS13 contributing to plasmatic ADAMTS13 levels in neonates with congenital heart disease. Thrombosis Research. 193. 66–76. 2 indexed citations
10.
Alexaki, Aikaterini, Jacob Kames, David D. Holcomb, et al.. (2019). Codon and Codon-Pair Usage Tables (CoCoPUTs): Facilitating Genetic Variation Analyses and Recombinant Gene Design. Journal of Molecular Biology. 431(13). 2434–2441. 97 indexed citations
11.
Katneni, Upendra, David D. Holcomb, Nobuko Katagiri, et al.. (2019). Splicing dysregulation contributes to the pathogenicity of several F9 exonic point variants. Molecular Genetics & Genomic Medicine. 7(8). e840–e840. 7 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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