Mark Y. Fang

3.5k total citations · 3 hit papers
10 papers, 2.3k citations indexed

About

Mark Y. Fang is a scholar working on Molecular Biology, Neurology and Surgery. According to data from OpenAlex, Mark Y. Fang has authored 10 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Surgery. Recurrent topics in Mark Y. Fang's work include RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Mark Y. Fang is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Mark Y. Fang collaborates with scholars based in United States, Singapore and Canada. Mark Y. Fang's co-authors include G Yeo, Sebastian Markmiller, David A. Nelles, Balaji Sundararaman, Christine Surka, Chelsea Gelboin-Burkhart, Rebecca Stanton, Eric L. Van Nostrand, Mitchell Guttman and Keri Elkins and has published in prestigious journals such as Cell, Neuron and PLoS ONE.

In The Last Decade

Mark Y. Fang

10 papers receiving 2.3k citations

Hit Papers

Robust transcriptome-wide discovery of RNA-binding protei... 2016 2026 2019 2022 2016 2018 2016 250 500 750

Peers

Mark Y. Fang
Comparison fields: 5 of 86
  • Molecular Biology 2.1k
  • Cancer Research 306
  • Neurology 181
  • Cell Biology 175
  • Genetics 142
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Citations per field, relative to Mark Y. Fang
Mark Y. Fang · 1×
Citations per year, relative to Mark Y. Fang
Mark Y. Fang · 1×

Countries citing papers authored by Mark Y. Fang

Since Specialization
Citations

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

Fields of papers citing papers by Mark Y. Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Y. Fang. 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 Mark Y. Fang. The network helps show where Mark Y. Fang may publish in the future.

Co-authorship network of co-authors of Mark Y. Fang

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 198
2
Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules breakdown →
626
3 3
4
Programmable RNA Tracking in Live Cells with CRISPR/Cas9 breakdown →
410
5
Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP) breakdown →
863
6 30
7 50
8 50
9 46
10 3

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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