James H. Ahn

936 total citations
8 papers, 536 citations indexed

About

James H. Ahn is a scholar working on Molecular Biology, Computational Theory and Mathematics and Aging. According to data from OpenAlex, James H. Ahn has authored 8 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Aging. Recurrent topics in James H. Ahn's work include Heat shock proteins research (4 papers), Computational Drug Discovery Methods (3 papers) and CRISPR and Genetic Engineering (2 papers). James H. Ahn is often cited by papers focused on Heat shock proteins research (4 papers), Computational Drug Discovery Methods (3 papers) and CRISPR and Genetic Engineering (2 papers). James H. Ahn collaborates with scholars based in United States, Canada and France. James H. Ahn's co-authors include Tony Taldone, Anna Rodina, Gabriela Chiosis, Eloisi Caldas-Lopes, Kamalika Moulick, Darrell J. Killian, Roumen Voutev, E. Jane Albert Hubbard, Ana I. Robles and Lyuba Varticovski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

James H. Ahn

8 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James H. Ahn United States 7 397 89 80 69 69 8 536
Diego Alonso‐López Spain 9 351 0.9× 26 0.3× 92 1.1× 62 0.9× 54 0.8× 14 529
Celia Sigua United States 9 738 1.9× 91 1.0× 143 1.8× 17 0.2× 152 2.2× 15 948
David J. Malwitz United States 5 428 1.1× 47 0.5× 40 0.5× 17 0.2× 56 0.8× 6 539
Changyong Wei United States 12 477 1.2× 44 0.5× 145 1.8× 14 0.2× 68 1.0× 20 656
Roberto Dal Zuffo Italy 11 636 1.6× 16 0.2× 105 1.3× 7 0.1× 60 0.9× 13 770
Theo Bijma Netherlands 8 401 1.0× 18 0.2× 46 0.6× 24 0.3× 70 1.0× 13 486
Sumit Deswal Germany 10 330 0.8× 12 0.1× 147 1.8× 34 0.5× 119 1.7× 12 478
Mike Firth United Kingdom 13 466 1.2× 14 0.2× 45 0.6× 49 0.7× 40 0.6× 23 579
Michael V. Murray United States 8 397 1.0× 36 0.4× 41 0.5× 7 0.1× 31 0.4× 9 464
Jasper E. Neggers United States 9 337 0.8× 14 0.2× 98 1.2× 13 0.2× 20 0.3× 12 410

Countries citing papers authored by James H. Ahn

Since Specialization
Citations

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

Fields of papers citing papers by James H. Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James H. Ahn. 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 James H. Ahn. The network helps show where James H. Ahn may publish in the future.

Co-authorship network of co-authors of James H. Ahn

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

All Works

8 of 8 papers shown
1.
Veeneman, Brendan, Ying Gao, James H. Ahn, et al.. (2020). PINCER: improved CRISPR/Cas9 screening by efficient cleavage at conserved residues. Nucleic Acids Research. 48(17). 9462–9477. 6 indexed citations
2.
Taldone, Tony, Danuta Zatorska, Pallav D. Patel, et al.. (2011). Design, synthesis, and evaluation of small molecule Hsp90 probes. Bioorganic & Medicinal Chemistry. 19(8). 2603–2614. 40 indexed citations
3.
Ahn, James H., Wenjie Luo, Joungnam Kim, et al.. (2010). Design of a Flexible Cell-Based Assay for the Evaluation of Heat Shock Protein 70 Expression Modulators. Assay and Drug Development Technologies. 9(3). 236–246. 3 indexed citations
4.
Marubayashi, Sachie, Priya Koppikar, Tony Taldone, et al.. (2010). HSP90 is a therapeutic target in JAK2-dependent myeloproliferative neoplasms in mice and humans. Journal of Clinical Investigation. 120(10). 3578–3593. 142 indexed citations
5.
Caldas-Lopes, Eloisi, Leandro Cerchietti, James H. Ahn, et al.. (2009). Hsp90 inhibitor PU-H71, a multimodal inhibitor of malignancy, induces complete responses in triple-negative breast cancer models. Proceedings of the National Academy of Sciences. 106(20). 8368–8373. 248 indexed citations
6.
Voutev, Roumen, Darrell J. Killian, James H. Ahn, & E. Jane Albert Hubbard. (2006). Alterations in ribosome biogenesis cause specific defects in C. elegans hermaphrodite gonadogenesis. Developmental Biology. 298(1). 45–58. 45 indexed citations
7.
Maciejowski, John, James H. Ahn, Darrell J. Killian, et al.. (2005). Autosomal Genes of Autosomal/X-Linked Duplicated Gene Pairs and Germ-Line Proliferation in Caenorhabditis elegans. Genetics. 169(4). 1997–2011. 42 indexed citations
8.
Ahn, James H., Allen F. Morey, & Jack W. McAninch. (1998). WORKUP AND MANAGEMENT OF TRAUMATIC HEMATURIA. Emergency Medicine Clinics of North America. 16(1). 145–164. 10 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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