H. Steve Zhang

10 total papers · 3.1k total citations
6 papers, 1.9k citations indexed

About

H. Steve Zhang is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, H. Steve Zhang has authored 6 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in H. Steve Zhang's work include Mitochondrial Function and Pathology (2 papers), CRISPR and Genetic Engineering (2 papers) and Virus-based gene therapy research (2 papers). H. Steve Zhang is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), CRISPR and Genetic Engineering (2 papers) and Virus-based gene therapy research (2 papers). H. Steve Zhang collaborates with scholars based in United States, China and South Korea. H. Steve Zhang's co-authors include Philip D. Gregory, Fyodor D. Urnov, Michael C. Holmes, Edward J. Rebar, David E. Paschon, Laurie H. Sanders, Ole Isacson, Sally K. Mak, J. Timothy Greenamyre and Ying Huang and has published in prestigious journals such as Nature Reviews Genetics, Theoretical and Applied Genetics and Investigative Ophthalmology & Visual Science.

In The Last Decade

H. Steve Zhang

6 papers receiving 1.8k citations

Hit Papers

Genome editing with engin... 2010 2026 2015 2020 2010 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
H. Steve Zhang 1.6k 541 228 140 125 6 1.9k
Irina Ankoudinova 2.1k 1.3× 555 1.0× 286 1.3× 327 2.3× 100 0.8× 16 2.5k
Sourav Choudhury 1.5k 0.9× 350 0.6× 135 0.6× 108 0.8× 88 0.7× 20 1.8k
Kathleen A. Worringer 2.0k 1.2× 683 1.3× 133 0.6× 218 1.6× 157 1.3× 14 2.8k
Bryan Zeitler 2.6k 1.6× 707 1.3× 260 1.1× 139 1.0× 126 1.0× 11 2.8k
Woong Y. Hwang 2.4k 1.5× 641 1.2× 224 1.0× 188 1.3× 59 0.5× 14 2.9k
Sarah J. Hinkley 2.4k 1.5× 704 1.3× 340 1.5× 102 0.7× 133 1.1× 8 2.6k
Haoquan Wu 2.3k 1.4× 415 0.8× 96 0.4× 121 0.9× 120 1.0× 27 2.9k
Jonathan D. Chesnut 2.1k 1.3× 492 0.9× 154 0.7× 114 0.8× 170 1.4× 38 2.4k
Kornel Labun 1.6k 0.9× 286 0.5× 191 0.8× 98 0.7× 108 0.9× 10 1.9k
Jean-Baptiste Renaud 1.4k 0.8× 338 0.6× 190 0.8× 50 0.4× 61 0.5× 7 1.6k

Countries citing papers authored by H. Steve Zhang

Since Specialization
Citations

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

Fields of papers citing papers by H. Steve Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Steve Zhang

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

All Works

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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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