Chendi Wang

835 citations
7 papers · 87 · h-index 4

Impact in

    • Genomics and Chromatin Dynamics
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms

Papers in

Chendi Wang

5 papers receiving 83 citations

Peers

Chendi Wang
Comparison fields: 5 of 34
  • Biophysics 5
  • Molecular Biology 51
  • Cancer Research 9
  • Cognitive Neuroscience 10
  • Immunology 10
Replace Gaurab Mukherjee with:
Gaurab Mukherjee United States
Richard K. Perez United States
Manuel Muñoz-Aguirre Spain
Alex Finnegan United States
Joseph K. Aicher United States
Tianyuan Liu Spain
Emily M. Blaum United States
Liam G. Fearnley Australia
Jean Tori Pantel Germany
Chendi Wang relative to Gaurab Mukherjee United States Gaurab Mukherjee's profile →
Citations per field
00.5×1.5×2.5×
Gaurab Mukherjee · 1×
Citations per year

Countries citing papers authored by Chendi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chendi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chendi Wang. 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 Chendi Wang. The network helps show where Chendi Wang may publish in the future.

Co-authors

The 21 scholars most cited alongside Chendi Wang, 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 Chendi Wang Line = papers co-authored together Chendi Wang links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Chendi Wang

Chendi Wang is a scholar working on Molecular Biology, Automotive Engineering, Control and Systems Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 7 papers that have together received 87 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (1 paper), Statistical Distribution Estimation and Applications (1 paper), Immunotherapy and Immune Responses (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Real-time simulation and control systems (1 paper), Advanced MRI Techniques and Applications (1 paper), Genomics and Chromatin Dynamics (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Biophysics (5 citations), Molecular Biology (51 citations), Cancer Research (9 citations), Cognitive Neuroscience (10 citations) and Immunology (10 citations). Chendi Wang has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Bernard Ng, Ricardo N. Ramírez, Alexandra Maslova, Sara Mostafavi, Ke Ma, Christophe Benoıst, Rafeef Garbi, Qigen Liu, Juan Li and Jiao Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cellular Oncology, Brain Connectivity, Frontiers in Public Health and Conservation Genetics Resources.

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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