David Harker

2.6k total citations · 1 hit paper
10 papers, 585 citations indexed

About

David Harker is a scholar working on Dermatology, Oncology and Epidemiology. According to data from OpenAlex, David Harker has authored 10 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Dermatology, 3 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in David Harker's work include Research in Cotton Cultivation (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Vascular Tumors and Angiosarcomas (1 paper). David Harker is often cited by papers focused on Research in Cotton Cultivation (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Vascular Tumors and Angiosarcomas (1 paper). David Harker collaborates with scholars based in United States, Australia and Denmark. David Harker's co-authors include M. Thomas P. Gilbert, Paula F. Campos, R. Paul Scofield, Richard N. Holdaway, Charlotte L. Oskam, Marie L. Hale, José Alfredo Samaniego Castruita, Eske Willerslev, Guojie Zhang and Morten E. Allentoft and has published in prestigious journals such as Clinical Cancer Research, Proceedings of the Royal Society B Biological Sciences and Theoretical and Applied Genetics.

In The Last Decade

David Harker

9 papers receiving 568 citations

Hit Papers

The half-life of DNA in bone: measuring decay kinetics in... 2012 2026 2016 2021 2012 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
David Harker United States 6 239 195 121 113 82 10 585
S Matsuyama Japan 11 468 2.0× 346 1.8× 34 0.3× 137 1.2× 37 0.5× 21 687
José R. Sandoval Peru 11 155 0.6× 230 1.2× 68 0.6× 22 0.2× 44 0.5× 27 481
Alessandra Modi Italy 9 136 0.6× 196 1.0× 37 0.3× 60 0.5× 126 1.5× 28 448
Stefania Vai Italy 12 153 0.6× 236 1.2× 35 0.3× 59 0.5× 180 2.2× 43 550
Eleanor Howard United Kingdom 3 551 2.3× 364 1.9× 135 1.1× 98 0.9× 8 0.1× 3 862
Lukas F. K. Kuderna Spain 9 297 1.2× 231 1.2× 98 0.8× 124 1.1× 23 0.3× 18 583
Dmitry Pushkarev United States 8 751 3.1× 285 1.5× 176 1.5× 175 1.5× 10 0.1× 8 1.1k
Kevin Gori United Kingdom 6 194 0.8× 117 0.6× 40 0.3× 51 0.5× 111 1.4× 7 454
Sergey Fedorov Russia 3 174 0.7× 111 0.6× 46 0.4× 88 0.8× 22 0.3× 4 324
Lisa M. Freimark United States 6 284 1.2× 93 0.5× 15 0.1× 58 0.5× 75 0.9× 7 714

Countries citing papers authored by David Harker

Since Specialization
Citations

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

Fields of papers citing papers by David Harker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Harker

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

All Works

10 of 10 papers shown
1.
Harker, David, et al.. (2021). Blastic plasmacytoid dendritic cell neoplasm in a young patient. Dermatology Online Journal. 27(1).
2.
Grover, Corrinne E., Mi‐Jeong Yoo, Meng Lin, et al.. (2019). Genetic Analysis of the Transition from Wild to Domesticated Cotton ( Gossypium hirsutum L.). G3 Genes Genomes Genetics. 10(2). 731–754. 18 indexed citations
3.
Harker, David, et al.. (2019). Idiopathic bilateral auricular ossificans.. PubMed. 104(2). E18–E19. 1 indexed citations
4.
Kobayashi, Masato, Jin-Sung Chung, Muhammad Shaalan Beg, et al.. (2018). Blocking Monocytic Myeloid-Derived Suppressor Cell Function via Anti-DC-HIL/GPNMB Antibody Restores the In Vitro Integrity of T Cells from Cancer Patients. Clinical Cancer Research. 25(2). 828–838. 46 indexed citations
5.
Harker, David, et al.. (2017). Vulvar Asymmetry Due to Silicone Migration and Granulomatous Immune Response Following Injection for Buttock Augmentation.. PubMed. 10(4). 50–54. 2 indexed citations
6.
Harker, David, et al.. (2016). The role of imaging in the prevention of wrong-site surgery in dermatology. Seminars in Cutaneous Medicine and Surgery. 35(1). 9–12. 1 indexed citations
7.
Harker, David, Michael Jennings, Patrick M. McDonough, et al.. (2016). MYC amplification in angiosarcomas arising in the setting of chronic lymphedema of morbid obesity. Journal of Cutaneous Pathology. 44(1). 15–19. 8 indexed citations
8.
Byers, Richard, David Harker, Scott Yourstone, Peter J. Maughan, & Joshua A. Udall. (2012). Development and mapping of SNP assays in allotetraploid cotton. Theoretical and Applied Genetics. 124(7). 1201–1214. 102 indexed citations
9.
Allentoft, Morten E., Matthew J. Collins, David Harker, et al.. (2012). The half-life of DNA in bone: measuring decay kinetics in 158 dated fossils. Proceedings of the Royal Society B Biological Sciences. 279(1748). 4724–4733. 389 indexed citations breakdown →

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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