Heesun Shin

3.4k total citations
18 papers, 395 citations indexed

About

Heesun Shin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Heesun Shin has authored 18 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Heesun Shin's work include Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Heesun Shin is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Heesun Shin collaborates with scholars based in Canada, United States and Australia. Heesun Shin's co-authors include Steven J.M. Jones, Marco A. Marra, Raymond T. Ng, Bruce M. McManus, Scott J. Tebbutt, Jacqueline E. Schein, David L. Baillie, Readman Chiu, Ian Bosdet and Robert Balshaw and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Heesun Shin

18 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heesun Shin Canada 11 228 92 83 56 44 18 395
Eva Henriksson Sweden 12 460 2.0× 402 4.4× 48 0.6× 35 0.6× 44 1.0× 19 799
Sayaka Miura United States 14 289 1.3× 218 2.4× 38 0.5× 187 3.3× 71 1.6× 32 709
Fatemeh Seyednasrollah Finland 8 410 1.8× 43 0.5× 36 0.4× 140 2.5× 70 1.6× 12 569
Mehrdad Pedram Iran 12 272 1.2× 106 1.2× 12 0.1× 29 0.5× 66 1.5× 17 517
Juliana Costa Silva Brazil 4 283 1.2× 71 0.8× 23 0.3× 84 1.5× 44 1.0× 8 426
Elif Sarinay Cenik United States 8 409 1.8× 88 1.0× 15 0.2× 69 1.2× 40 0.9× 17 514
Taiga Yamazaki Japan 14 376 1.6× 36 0.4× 28 0.3× 33 0.6× 126 2.9× 24 594
Catherine Lachance Canada 14 233 1.0× 39 0.4× 31 0.4× 22 0.4× 62 1.4× 22 490
Claire Renard-Guillet Japan 6 421 1.8× 43 0.5× 19 0.2× 23 0.4× 57 1.3× 7 539
Shayna Stein United States 6 252 1.1× 54 0.6× 35 0.4× 83 1.5× 61 1.4× 10 525

Countries citing papers authored by Heesun Shin

Since Specialization
Citations

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

Fields of papers citing papers by Heesun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heesun Shin

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

All Works

18 of 18 papers shown
1.
Sarda, Shrutii, David Merrill, Heesun Shin, et al.. (2020). Abstract 3347: Characterization of gut microbiota and identification of key bacterial species associated with immune response using a new Ion Torrent next-generation sequencing assay. Cancer Research. 80(16_Supplement). 3347–3347. 1 indexed citations
2.
Sarda, Shrutii, David Merrill, Heesun Shin, et al.. (2020). 680 Automated Ion torrent based solution enables accurate gut microbiome quantification of bacterial species relevant to research in cancer and its response to immunotherapy. SHILAP Revista de lepidopterología. A408.2–A409. 1 indexed citations
3.
Kane, Christopher, Kasra Yousefi, Zaid Haddad, et al.. (2016). Evaluation of a genomic classifier in radical prostatectomy patients with lymph node metastasis. Research and Reports in Urology. Volume 8. 77–84. 13 indexed citations
4.
Knudsen, Beatrice S., Hyung L. Kim, Nicholas Erho, et al.. (2016). Application of a Clinical Whole-Transcriptome Assay for Staging and Prognosis of Prostate Cancer Diagnosed in Needle Core Biopsy Specimens. Journal of Molecular Diagnostics. 18(3). 395–406. 46 indexed citations
5.
Lee, Hak J., Kasra Yousefi, Zaid Haddad, et al.. (2016). MP02-06 EVALUATION OF A GENOMIC CLASSIFIER IN RADICAL PROSTATECTOMY PATIENTS WITH LYMPH NODE METASTASIS. The Journal of Urology. 195(4S). 2 indexed citations
6.
Alshalalfa, Mohammed, Mark J. Schliekelman, Heesun Shin, Nicholas Erho, & Elai Davicioni. (2015). Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer. Biology of the Cell. 107(7). 232–244. 5 indexed citations
7.
Nguyen, Paul L., Heesun Shin, Kasra Yousefi, et al.. (2015). Impact of a Genomic Classifier of Metastatic Risk on Postprostatectomy Treatment Recommendations by Radiation Oncologists and Urologists. Urology. 86(1). 35–40. 18 indexed citations
8.
Davicioni, Elai, Voleak Choeurng, Bin Luo, et al.. (2015). Recalibration of genomic risk prediction models in prostate cancer to improve individual-level predictions.. Journal of Clinical Oncology. 33(15_suppl). e16122–e16122. 6 indexed citations
9.
Günther, Oliver P., Heesun Shin, Raymond T. Ng, et al.. (2014). Novel Multivariate Methods for Integration of Genomics and Proteomics Data: Applications in a Kidney Transplant Rejection Study. OMICS A Journal of Integrative Biology. 18(11). 682–695. 36 indexed citations
10.
Shin, Heesun, Casey P. Shannon, Nick Fishbane, et al.. (2014). Variation in RNA-Seq Transcriptome Profiles of Peripheral Whole Blood from Healthy Individuals with and without Globin Depletion. PLoS ONE. 9(3). e91041–e91041. 61 indexed citations
11.
Shin, Heesun, Oliver P. Günther, Zsuzsanna Hollander, et al.. (2014). Longitudinal Analysis of Whole Blood Transcriptomes to Explore Molecular Signatures Associated with Acute Renal Allograft Rejection. Bioinformatics and Biology Insights. 8. BBI.S13376–BBI.S13376. 5 indexed citations
12.
Shin, Heesun, Hyojin Lee, Anthony P. Fejes, et al.. (2011). Gene expression profiling of oxidative stress response of C. elegans aging defective AMPK mutants using massively parallel transcriptome sequencing. BMC Research Notes. 4(1). 34–34. 30 indexed citations
13.
Shin, Heesun, Martin Hirst, Matthew N. Bainbridge, et al.. (2008). Transcriptome analysis for Caenorhabditis elegansbased on novel expressed sequence tags. BMC Biology. 6(1). 30–30. 45 indexed citations
14.
Bakkeren, Guus, Guoqiao Jiang, Robin M. Warren, et al.. (2006). Mating factor linkage and genome evolution in basidiomycetous pathogens of cereals. Fungal Genetics and Biology. 43(9). 655–666. 39 indexed citations
15.
González, Josefa, Michael Nefedov, Ian Bosdet, et al.. (2005). A BAC-based physical map of theDrosophila buzzatiigenome. Genome Research. 15(6). 885–892. 17 indexed citations
16.
Miyake, Tsutomu, Jacqueline E. Schein, Heesun Shin, et al.. (2004). Genome resource for the indonesian coelacanth, Latimeria menadoensis. Journal of Experimental Zoology Part A Comparative Experimental Biology. 301A(3). 228–234. 29 indexed citations
17.
Flibotte, Stéphane, Readman Chiu, Christopher D. Fjell, et al.. (2004). Automated ordering of fingerprinted clones. Bioinformatics. 20(8). 1264–1271. 8 indexed citations
18.
Schein, Jacqueline E., Kristin L. Tangen, Readman Chiu, et al.. (2002). Physical Maps for Genome Analysis of Serotype A and D Strains of the Fungal Pathogen Cryptococcus neoformans. Genome Research. 12(9). 1445–1453. 33 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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