Daniel J. Park

4.3k total citations · 1 hit paper
73 papers, 1.9k citations indexed

About

Daniel J. Park is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daniel J. Park has authored 73 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 30 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Daniel J. Park's work include Molecular Biology Techniques and Applications (14 papers), BRCA gene mutations in cancer (13 papers) and Cancer Genomics and Diagnostics (12 papers). Daniel J. Park is often cited by papers focused on Molecular Biology Techniques and Applications (14 papers), BRCA gene mutations in cancer (13 papers) and Cancer Genomics and Diagnostics (12 papers). Daniel J. Park collaborates with scholars based in Australia, United States and United Kingdom. Daniel J. Park's co-authors include Katherine J. Siddle, Pardis C. Sabeti, George C. Schatz, Chad A. Mirkin, Melissa C. Southey, Bernard J. Pope, Stuart J. Rowan, Jeffrey R. Capadona, Dustin J. Tyler and Christoph Weder and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel J. Park

70 papers receiving 1.8k citations

Hit Papers

Benchmarking Metagenomics Tools for Taxonomic Classification 2019 2026 2021 2023 2019 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
Daniel J. Park Australia 22 843 392 284 268 205 73 1.9k
Dong Hoon Shin South Korea 38 1.1k 1.3× 482 1.2× 464 1.6× 210 0.8× 116 0.6× 244 4.3k
Yūichi Ono Japan 36 1.8k 2.1× 293 0.7× 150 0.5× 584 2.2× 52 0.3× 113 3.4k
Ken Kitamura Japan 25 1.0k 1.2× 191 0.5× 86 0.3× 219 0.8× 175 0.9× 227 3.0k
Koichi Baba Japan 31 504 0.6× 127 0.3× 359 1.3× 405 1.5× 60 0.3× 140 3.3k
Tit Meng Lim Singapore 25 871 1.0× 210 0.5× 487 1.7× 205 0.8× 21 0.1× 54 2.5k
Noriko Tamura Japan 31 832 1.0× 172 0.4× 141 0.5× 253 0.9× 95 0.5× 183 3.4k
Lin He China 32 2.2k 2.6× 410 1.0× 735 2.6× 254 0.9× 24 0.1× 110 4.0k
Makoto Mizutani Japan 26 877 1.0× 604 1.5× 76 0.3× 199 0.7× 34 0.2× 171 2.7k
Hernandes F. Carvalho Brazil 30 842 1.0× 209 0.5× 375 1.3× 68 0.3× 78 0.4× 188 3.0k
Jennifer A. Lee United States 20 1.5k 1.8× 1.2k 3.0× 477 1.7× 104 0.4× 44 0.2× 33 2.9k

Countries citing papers authored by Daniel J. Park

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Park. 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 Daniel J. Park. The network helps show where Daniel J. Park may publish in the future.

Co-authorship network of co-authors of Daniel J. Park

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Park. A scholar is included among the top collaborators of Daniel J. Park 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 Daniel J. Park. Daniel J. Park 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.
Bruinsma, Fiona, Susan J. Jordan, Daniel J. Park, et al.. (2024). Prevalence of Germline Pathogenic Variants in Renal Cancer Predisposition Genes in a Population-Based Study of Renal Cell Carcinoma. Cancers. 16(17). 2985–2985. 1 indexed citations
2.
Stoeckel, Solenn, Gilles Lassalle, Sophie Michon-Coudouel, et al.. (2024). Reproductive modes in populations of late-acting self-incompatible and self-compatible polyploid Ludwigia grandiflora subsp. hexapetala in western Europe. SHILAP Revista de lepidopterología. 4.
3.
Bendon, Charlotte L., et al.. (2024). A Family-Based Study of Inherited Genetic Risk in Lipedema. Lymphatic Research and Biology. 22(2). 106–111. 2 indexed citations
4.
Jung, Chol‐Hee, Paul C. Boutros, Daniel J. Park, et al.. (2022). Perish and publish: Dynamics of biomedical publications by deceased authors. PLoS ONE. 17(9). e0273783–e0273783. 3 indexed citations
5.
Nguyen‐Dumont, Tú, Jason A. Steen, Ingrid Winship, et al.. (2020). Mismatch repair gene pathogenic germline variants in a population-based cohort of breast cancer. Familial Cancer. 19(3). 197–202. 5 indexed citations
6.
Siddle, Katherine J., et al.. (2019). Benchmarking Metagenomics Tools for Taxonomic Classification. Cell. 178(4). 779–794. 323 indexed citations breakdown →
7.
Jones, Mark R., Ivan Urits, Ken P. Ehrhardt, et al.. (2019). A Comprehensive Review of Trigeminal Neuralgia. Current Pain and Headache Reports. 23(10). 74–74. 128 indexed citations
8.
Nguyen‐Dumont, Tú, Aleksander Myszka, Paweł Karpiński, et al.. (2018). FANCM and RECQL genetic variants and breast cancer susceptibility: relevance to South Poland and West Ukraine. BMC Medical Genetics. 19(1). 12–12. 20 indexed citations
9.
Pope, Bernard J., Fleur Hammet, Tú Nguyen‐Dumont, & Daniel J. Park. (2017). Hi-Plex for Simple, Accurate, and Cost-Effective Amplicon-based Targeted DNA Sequencing. Methods in molecular biology. 1712. 53–70. 3 indexed citations
10.
MacInnis, Robert J., Daniel F. Schmidt, Enes Makalic, et al.. (2016). Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 25(12). 1619–1624. 3 indexed citations
11.
Bangerter, Neal K., et al.. (2016). Quantitative techniques for musculoskeletal MRI at 7 Tesla. Quantitative Imaging in Medicine and Surgery. 6(6). 715–730. 22 indexed citations
12.
Hasmad, Hanis Nazihah, Wei Wen, Daniel J. Park, et al.. (2015). Evaluation of germline BRCA1 and BRCA2 mutations in a multi-ethnic Asian cohort of ovarian cancer patients. Gynecologic Oncology. 141(2). 318–322. 16 indexed citations
13.
Park, Daniel J., Fabrice Odefrey, Fleur Hammet, et al.. (2011). FAN1 variants identified in multiple-case early-onset breast cancer families via exome sequencing: no evidence for association with risk for breast cancer. Breast Cancer Research and Treatment. 130(3). 1043–1049. 12 indexed citations
14.
Park, Daniel J.. (2010). Lariat-Dependent Nested PCR for Flanking Sequence Determination. Methods in molecular biology. 687. 43–55. 1 indexed citations
15.
Park, Daniel J., Melissa C. Southey, Graham G. Giles, & John L. Hopper. (2010). No evidence of MMTV-like env sequences in specimens from the Australian Breast Cancer Family Study. Breast Cancer Research and Treatment. 125(1). 229–235. 26 indexed citations
16.
Kim, Dong Wook, et al.. (2009). Simultaneous peripheral tuberculous lymphadenitis and a tuberculous liver abscess in a hemodialysis patient. Clinical Nephrology. 72(8). 143–146. 1 indexed citations
17.
Khan, Zaheer Ullah, Karl Poetter, & Daniel J. Park. (2008). Enhanced solid phase PCR: mechanisms to increase priming by solid support primers. Analytical Biochemistry. 375(2). 391–393. 23 indexed citations
18.
Park, Daniel J.. (2005). LaNe RAGE: a new tool for genomic DNA flanking sequence determination. Electronic Journal of Biotechnology. 8(2). 218–225. 4 indexed citations
19.
Park, Daniel J., et al.. (2005). Characterisation of the marsupial-specific ATRY gene: Implications for the evolution of male-specific function. Gene. 362. 29–36. 4 indexed citations
20.
Park, Daniel J., Marilyn B. Renfree, & Jennifer A. Marshall Graves. (2004). Universal Fast Walking Applied to cDNA. Preparative Biochemistry & Biotechnology. 34(2). 123–133. 3 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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