H. Steve Zhang

3.1k citations
6 papers · 1.9k indexed · 1 hit paper · h-index 4

H. Steve Zhang

6 papers receiving 1.8k citations

Hit Papers

Genome editing with engineered zinc finger nucleases2010202620152020201050010001.5k

Peers

H. Steve Zhang
Comparison fields: 5 of 90
  • Molecular Biology 1.7k
  • Genetics 542
  • Plant Science 229
  • Cellular and Molecular Neuroscience 141
  • Oncology 126
Replace Jonathan D. Chesnut with:
Jonathan D. Chesnut United States
Nicole M. Bode United States
Aymeric Duclert France
Bryan Zeitler United States
Dmitry Ter‐Ovanesyan United States
Natalia Gomez‐Ospina United States
Yolanda Santiago United States
Sarah J. Hinkley United States
Isaac B. Hilton United States
Eva K. Brinkman Netherlands
H. Steve Zhang relative to Jonathan D. Chesnut United States Jonathan D. Chesnut's profile →
Citations per field
00.5×1.5×
Jonathan D. Chesnut · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1 1
2 1
3 216
4 3
5
Genome editing with engineered zinc finger nucleasesbreakdown →
1610
6 44

About H. Steve Zhang

H. Steve Zhang is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health, having authored 6 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), CRISPR and Genetic Engineering (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Business and International Management (109 citations), Aging (76 citations) and Molecular Biology (1.7k citations). H. Steve Zhang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Philip D. Gregory, Fyodor D. Urnov, Michael C. Holmes, Edward J. Rebar, J. William Langston, Oliver Cooper, Laurie H. Sanders, David E. Paschon, Josée Laganière and Sally K. Mak. Their work appears in journals such as Nature Reviews Genetics, Theoretical and Applied Genetics and Investigative Ophthalmology & Visual Science.

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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