J. Hoh

2.6k total citations · 1 hit paper
19 papers, 2.0k citations indexed

About

J. Hoh is a scholar working on Molecular Biology, Genetics and Ophthalmology. According to data from OpenAlex, J. Hoh has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Ophthalmology. Recurrent topics in J. Hoh's work include Retinal Diseases and Treatments (6 papers), Genetic Associations and Epidemiology (5 papers) and Bioinformatics and Genomic Networks (3 papers). J. Hoh is often cited by papers focused on Retinal Diseases and Treatments (6 papers), Genetic Associations and Epidemiology (5 papers) and Bioinformatics and Genomic Networks (3 papers). J. Hoh collaborates with scholars based in United States, United Kingdom and Australia. J. Hoh's co-authors include Jürg Ott, Anja Wille, J. Ott, Arnold J. Levine, Shengkan Jin, Joanne Edington, Catherine Lord, Enrico Parano, Dale R. Nyholt and T. Conrad Gilliam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Genome Research.

In The Last Decade

J. Hoh

19 papers receiving 1.9k citations

Hit Papers

Electrophoretic analysis of multiple forms of rat cardiac... 1978 2026 1994 2010 1978 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Hoh United States 14 1.1k 626 516 229 223 19 2.0k
Nili Avidan Israel 25 1.4k 1.3× 367 0.6× 617 1.2× 85 0.4× 57 0.3× 40 2.9k
Tomoyuki Watanabe Japan 20 730 0.7× 188 0.3× 166 0.3× 133 0.6× 44 0.2× 91 1.5k
Ulrich K. Schubart United States 20 537 0.5× 199 0.3× 97 0.2× 115 0.5× 65 0.3× 32 1.3k
Arun Kumar India 26 1.1k 1.0× 404 0.6× 43 0.1× 219 1.0× 58 0.3× 89 2.0k
Stephen Donoghue United Kingdom 18 541 0.5× 703 1.1× 245 0.5× 300 1.3× 139 0.6× 35 2.6k
Eric E. Bardes United States 5 1.5k 1.4× 379 0.6× 63 0.1× 193 0.8× 95 0.4× 6 2.4k
Patricia E. Martin United Kingdom 31 2.6k 2.4× 348 0.6× 211 0.4× 41 0.2× 55 0.2× 84 3.4k
Négar Khanlou United States 21 909 0.8× 159 0.3× 108 0.2× 276 1.2× 38 0.2× 51 1.9k
Sharon Graw United States 26 1.7k 1.6× 552 0.9× 1.3k 2.5× 78 0.3× 46 0.2× 57 2.9k
Johannes R. Lemke Germany 27 1.1k 1.0× 977 1.6× 75 0.1× 34 0.1× 83 0.4× 102 1.9k

Countries citing papers authored by J. Hoh

Since Specialization
Citations

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

Fields of papers citing papers by J. Hoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Hoh

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

All Works

19 of 19 papers shown
1.
Hoh, J., Jinelle H. Sperry, Jeffrey T. Foster, et al.. (2024). Effects of fruit novelty on feeding preference in four globally invasive frugivorous birds. Biological Invasions. 26(12). 4179–4198. 2 indexed citations
2.
Walsh, Kyle M., Murim Choi, Kjell Öberg, et al.. (2010). A pilot genome-wide association study shows genomic variants enriched in the non-tumor cells of patients with well-differentiated neuroendocrine tumors of the ileum. Endocrine Related Cancer. 18(1). 171–180. 19 indexed citations
3.
Hoh, J., et al.. (2009). CCR3: Shedding New Light on a Dark Problem?. Journal of Molecular Cell Biology. 1(1). 17–19. 4 indexed citations
4.
Harris, Chris, Andrew T. DeWan, Andrew Zupnick, et al.. (2009). p53 responsive elements in human retrotransposons. Oncogene. 28(44). 3857–3865. 82 indexed citations
5.
Yan, Ting, Yanning Yang, Xinquan Cheng, et al.. (2008). Genotypic Association Analysis Using Discordant‐Relative‐Pairs. Annals of Human Genetics. 73(1). 84–94. 3 indexed citations
6.
Ennis, Sarah, Srini Goverdhan, Angela J. Cree, et al.. (2007). Fine-scale linkage disequilibrium mapping of age-related macular degeneration in the complement factor H gene region. British Journal of Ophthalmology. 91(7). 966–970. 15 indexed citations
7.
DeWan, Andrew T., Steven J. Hartman, Chong Zhao, et al.. (2007). HTRA1 promoter polymorphism in wet age-related macular degeneration. American Journal of Ophthalmology. 143(2). 376–376. 53 indexed citations
8.
Lotery, Andrew, Sarah Ennis, Srini Goverdhan, et al.. (2006). Linkage Association Mapping of the CFH Gene Region in a UK Cohort of Age–Related Macular Degeneration Patients. Investigative Ophthalmology & Visual Science. 47(13). 3270–3270. 1 indexed citations
9.
Feng, Zhaohui, Shengkan Jin, Andrew Zupnick, et al.. (2005). p53 tumor suppressor protein regulates the levels of huntingtin gene expression. Oncogene. 25(1). 1–7. 97 indexed citations
10.
Klein, Robert J., Caroline J. Zeiss, Emily Y. Chew, et al.. (2005). Complement factor H polymorphism in age-related macular degeneration. American Journal of Ophthalmology. 140(2). 352–352. 156 indexed citations
11.
Zee, Robert Y.L., J. Hoh, S Cheng, et al.. (2002). Multi-locus interactions predict risk for post-PTCA restenosis: an approach to the genetic analysis of common complex disease. The Pharmacogenomics Journal. 2(3). 197–201. 53 indexed citations
12.
Hoh, J., et al.. (2002). The p53MH algorithm and its application in detecting p53-responsive genes. Proceedings of the National Academy of Sciences. 99(13). 8467–8472. 240 indexed citations
13.
Hoh, J. & Jürg Ott. (2001). A Train of Thoughts on Gene Mapping. Theoretical Population Biology. 60(3). 149–153. 14 indexed citations
14.
Hoh, J., Anja Wille, & J. Ott. (2001). Trimming, Weighting, and Grouping SNPs in Human Case-Control Association Studies. Genome Research. 11(12). 2115–2119. 253 indexed citations
15.
Nyholt, Dale R., Enrico Parano, Piero Pavone, et al.. (2001). A Genomewide Screen for Autism Susceptibility Loci. The American Journal of Human Genetics. 69(2). 327–340. 249 indexed citations
16.
Hoh, J., Anja Wille, Robert Y.L. Zee, et al.. (2000). Selecting SNPs in two‐stage analysis of disease association data: a model‐free approach. Annals of Human Genetics. 64(5). 413–417. 78 indexed citations
17.
Verna, Lynne, S. Holman, Vivian Lee, & J. Hoh. (2000). UVA-induced oxidative damage in retinal pigment epithelial cells after H2O2 or sparfloxacin exposure. Cell Biology and Toxicology. 16(5). 303–312. 12 indexed citations
18.
Hoh, J. & Jürg Ott. (2000). Scan statistics to scan markers for susceptibility genes. Proceedings of the National Academy of Sciences. 97(17). 9615–9617. 61 indexed citations
19.
Hoh, J.. (1978). Electrophoretic analysis of multiple forms of rat cardiac myosin: Effects of hypophysectomy and thyroxine replacement. Journal of Molecular and Cellular Cardiology. 10(11). 1053–1060. 646 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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