Melissa D. Zhang

1.9k citations
3 papers · 939 indexed · 2 hit papers · h-index 3
Topics
CRISPR and Genetic Engineering (3 papers)Genomics and Chromatin Dynamics (1 paper)RNA and protein synthesis mechanisms (1 paper)
Partner nations
United States

In The Last Decade

Melissa D. Zhang

3 papers receiving 933 citations

Hit Papers

Accurate classification of BRCA1 variants with saturation...201820262020202320182019100200300400

Peers

Melissa D. Zhang
Comparison fields: 5 of 70
  • Molecular Biology 790
  • Genetics 376
  • Cancer Research 127
  • Plant Science 51
  • Oncology 43
Replace Anh Leith with:
Anh Leith United States
Hinke G. Kazemier Netherlands
Dan Frumkin Israel
Sharan Janjuha Switzerland
Anne Laugesen Denmark
Joseph Nasser United States
Arkaitz Ibarra United States
Joaquín Custodio Sweden
Emilia Herrera‐Moyano Spain
Drew T. Bergman United States
Melissa D. Zhang relative to Anh Leith United States Anh Leith's profile →
Citations per field
00.5×1.5×
Anh Leith · 1×
Citations per year

Countries citing papers authored by Melissa D. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Melissa D. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa D. Zhang

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1
A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screensbreakdown →
370
2
Accurate classification of BRCA1 variants with saturation genome editingbreakdown →
476
3 93

About Melissa D. Zhang

Melissa D. Zhang is a scholar working on Molecular Biology, Genetics and Infectious Diseases, having authored 3 papers that have together received 939 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Genomics and Chromatin Dynamics (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (376 citations), Aging (23 citations) and Molecular Biology (790 citations). Melissa D. Zhang has collaborated with scholars based in United States. Frequent co-authors include Jay Shendure, Molly Gasperini, Beth Martin, Anh Leith, Gregory M. Findlay, Riza M. Daza, Xingfan Huang, Joseph D. Janizek, Lea M. Starita and José L. McFaline‐Figueroa. Their work appears in journals such as Nature, Cell and The American Journal of Human Genetics.

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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