Chindo Hicks

8.2k total citations · 2 hit papers
80 papers, 5.3k citations indexed

About

Chindo Hicks is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chindo Hicks has authored 80 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 27 papers in Genetics and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chindo Hicks's work include Bioinformatics and Genomic Networks (13 papers), Cancer Genomics and Diagnostics (11 papers) and Genetic Associations and Epidemiology (11 papers). Chindo Hicks is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Cancer Genomics and Diagnostics (11 papers) and Genetic Associations and Epidemiology (11 papers). Chindo Hicks collaborates with scholars based in United States, United Kingdom and Japan. Chindo Hicks's co-authors include Sarah C. Darby, Paul McGale, Rory Collins, Jon Godwin, Carolyn Taylor, V Evans, Christina Davies, Elizabeth MacKinnon, Mike Clarke and Richard Peto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Chindo Hicks

76 papers receiving 5.1k citations

Hit Papers

Effects of radiotherapy and of differences in the extent ... 2005 2026 2012 2019 2005 2020 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chindo Hicks United States 18 3.2k 1.7k 1.4k 1.0k 887 80 5.3k
David K. Gaffney United States 46 1.6k 0.5× 1.8k 1.1× 844 0.6× 2.0k 2.0× 1.3k 1.5× 318 9.0k
Christian Menzel Germany 37 1.3k 0.4× 1.8k 1.0× 467 0.3× 738 0.7× 780 0.9× 100 4.6k
Marco Greco Italy 32 6.7k 2.1× 3.5k 2.1× 3.7k 2.7× 3.3k 3.3× 545 0.6× 90 9.5k
Seema A. Khan United States 41 3.2k 1.0× 2.5k 1.5× 1.7k 1.2× 1.6k 1.6× 1.4k 1.6× 229 7.3k
Joseph P. Crowe United States 34 1.8k 0.6× 1.4k 0.8× 1.2k 0.8× 874 0.9× 922 1.0× 103 4.9k
Tari A. King United States 48 5.6k 1.7× 3.9k 2.3× 3.0k 2.2× 2.1k 2.1× 1.7k 1.9× 288 9.4k
Dirk Vordermark Germany 37 1.1k 0.3× 1.1k 0.6× 310 0.2× 569 0.6× 1.4k 1.6× 222 4.7k
Isabelle Bedrosian United States 54 5.8k 1.8× 4.0k 2.4× 3.5k 2.5× 2.7k 2.7× 1.3k 1.5× 238 9.3k
Amy C. Degnim United States 49 4.4k 1.4× 2.8k 1.7× 3.3k 2.4× 2.6k 2.6× 888 1.0× 233 8.0k
Brian J. Czerniecki United States 51 2.5k 0.8× 3.8k 2.2× 1.6k 1.2× 1.3k 1.3× 1.5k 1.7× 228 8.6k

Countries citing papers authored by Chindo Hicks

Since Specialization
Citations

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

Fields of papers citing papers by Chindo Hicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chindo Hicks

This figure shows the co-authorship network connecting the top 25 collaborators of Chindo Hicks. A scholar is included among the top collaborators of Chindo Hicks 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 Chindo Hicks. Chindo Hicks 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.
Lin, Hui‐Yi, Melody Baddoo, Chindo Hicks, et al.. (2025). Human endogenous retroviruses (HERVs) associated with glioblastoma risk and prognosis. Cancer Gene Therapy. 32(6). 622–632.
2.
Moore, Mary B., et al.. (2024). How can academic health science centers help to increase diversity in the STEM professions?. Frontiers in Education. 9.
3.
Wu, Jiande, et al.. (2023). PCa-Clf: A Classifier of Prostate Cancer Patients into Patients with Indolent and Aggressive Tumors Using Machine Learning. SHILAP Revista de lepidopterología. 5(4). 1302–1319.
4.
Lyu, Hui, et al.. (2023). HER3 targeting augments the efficacy of panobinostat in claudin-low triple-negative breast cancer cells. npj Precision Oncology. 7(1). 72–72. 11 indexed citations
5.
Hayes, Matthew, et al.. (2021). HolistIC: leveraging Hi–C and whole genome shotgun sequencing for double minute chromosome discovery. Bioinformatics. 38(5). 1208–1215. 11 indexed citations
6.
Wu, Jiande, et al.. (2021). Elucidation of the Genomic‐Epigenomic Interaction Landscape of Aggressive Prostate Cancer. BioMed Research International. 2021(1). 6641429–6641429. 1 indexed citations
7.
Zhang, Lu, Mei‐Chin Hsieh, Lior Rennert, et al.. (2021). Diagnosis-to-surgery interval and survival for different histologies of stage I–IIA lung cancer. Translational Lung Cancer Research. 10(7). 3043–3058. 8 indexed citations
8.
Wu, Jiande, et al.. (2020). Unraveling the Genomic-Epigenomic Interaction Landscape in Triple Negative and Non-Triple Negative Breast Cancer. Cancers. 12(6). 1559–1559. 15 indexed citations
9.
Wu, Jiande, et al.. (2020). Delineation of the Germline and Somatic Mutation Interaction Landscape in Triple-Negative and Non-Triple-Negative Breast Cancer. International Journal of Genomics. 2020. 1–16. 1 indexed citations
10.
Wu, Jiande, et al.. (2019). Integrating Germline and Somatic Mutation Information for the Discovery of Biomarkers in Triple-Negative Breast Cancer. International Journal of Environmental Research and Public Health. 16(6). 1055–1055. 14 indexed citations
11.
Wu, Jiande, et al.. (2019). Interactions between Germline and Somatic Mutated Genes in Aggressive Prostate Cancer. SHILAP Revista de lepidopterología. 2019. 1–11. 8 indexed citations
12.
Wu, Jiande, et al.. (2019). Mapping the Germline and Somatic Mutation Interaction Landscape in Indolent and Aggressive Prostate Cancers. Journal of Oncology. 2019. 1–15. 5 indexed citations
13.
Wu, Jiande, et al.. (2019). Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer. Cancers. 11(11). 1692–1692. 9 indexed citations
14.
15.
Wu, Jiande, et al.. (2018). Whole Genome Transcriptome Analysis of the Association between Obesity and Triple-Negative Breast Cancer in Caucasian Women. International Journal of Environmental Research and Public Health. 15(11). 2338–2338. 12 indexed citations
16.
Zhang, Xu, et al.. (2014). Pediatric Osteosarcoma: A Single Institution’s Experience. Southern Medical Journal. 107(11). 671–675. 9 indexed citations
17.
Hicks, Chindo, et al.. (2011). Development of a Tool to Manage Patient Health Records in Support of Burn Injury Research. Journal of Burn Care & Research. 32(6). 654–659. 1 indexed citations
18.
Churbanov, Alexander, Igor Vořechovský, & Chindo Hicks. (2010). A method of predicting changes in human gene splicing induced by genetic variants in context of cis-acting elements. BMC Bioinformatics. 11(1). 22–22. 15 indexed citations
19.
Hicks, Chindo, et al.. (2008). Genomics of Burn Injury and Its Promise in Clinical Practice. Journal of Burn Care & Research. 29(6). 877–886. 6 indexed citations
20.
Lambert, J. D., et al.. (1959). The second virial coefficients of mixed polar vapours. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 249(1258). 414–426. 16 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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