Yang-Yang Feng

1.9k citations
16 papers · 885 indexed · 1 hit paper · h-index 8

Yang-Yang Feng

15 papers receiving 879 citations

Hit Papers

DGIdb 3.0: a redesign and expansion of the drug–gene inte...5512017202620202023100200300400500

Peers

Yang-Yang Feng
Comparison fields: 5 of 103
  • Cancer Research 149
  • Immunology 201
  • Molecular Biology 506
  • Oncology 165
  • Computational Theory and Mathematics 81
Replace José M. G. Izarzugaza with:
José M. G. Izarzugaza Denmark
Ina Rothenaigner Germany
Penggao Dai China
Yi You China
Galia Maik-Rachline Israel
Tongbin Li United States
Douglas Kligman United States
Jennifer S. McKay United Kingdom
Jingbo Wang China
Yang-Yang Feng relative to José M. G. Izarzugaza Denmark José M. G. Izarzugaza's profile →
Citations per field
00.5×
José M. G. Izarzugaza · 1×
Citations per year

Countries citing papers authored by Yang-Yang Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yang-Yang Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang-Yang Feng. 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 Yang-Yang Feng. The network helps show where Yang-Yang Feng may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yang-Yang Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang-Yang Feng Line = papers co-authored together Yang-Yang Feng links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202414
2 20247
3 20238
4 202221
5 202247
6 202144
7 2020145
8 20201
9 20202
10 20190
11 201831
12 20187
13
DGIdb 3.0: a redesign and expansion of the drug–gene interaction databasebreakdown →
2017551
14 20173
15
Human motion tracking control for humanoid robot based on the optimized motion retargeting
20151
16 20153

About Yang-Yang Feng

Yang-Yang Feng is a scholar working on Cognitive Neuroscience, Cancer Research and Human-Computer Interaction, having authored 16 papers that have together received 885 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Bioinformatics and Genomic Networks (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Genomics and Diagnostics (3 papers), Molecular Biology Techniques and Applications (2 papers), Muscle metabolism and nutrition (2 papers), Proteins in Food Systems (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Cancer Research (149 citations), Immunology (201 citations) and Molecular Biology (506 citations). Yang-Yang Feng has collaborated with scholars based in United States and China. Frequent co-authors include Malachi Griffith, Obi L. Griffith, Susanna Kiwala, Kelsy C. Cotto, Alex H. Wagner, Gregory C. Spies, Adam Coffman, Nicholas C. Spies, Elaine R. Mardis and Jasreet Hundal. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Nature Neuroscience.

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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