Ping Dang

1.0k total citations · 1 hit paper
9 papers, 814 citations indexed

About

Ping Dang is a scholar working on Molecular Biology, Oncology and Periodontics. According to data from OpenAlex, Ping Dang has authored 9 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Periodontics. Recurrent topics in Ping Dang's work include Cancer Immunotherapy and Biomarkers (2 papers), Melanoma and MAPK Pathways (2 papers) and Wastewater Treatment and Nitrogen Removal (1 paper). Ping Dang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), Melanoma and MAPK Pathways (2 papers) and Wastewater Treatment and Nitrogen Removal (1 paper). Ping Dang collaborates with scholars based in China, United States and South Korea. Ping Dang's co-authors include David E. Fisher, Hensin Tsao, Alexandria P. Cogdill, Andrea Boni, Jennifer A. Wargo, Donald P. Lawrence, Keith T. Flaherty, Durga Udayakumar, Callum M. Sloss and Cristina R. Ferrone and has published in prestigious journals such as Environmental Science & Technology, Cancer Research and Annals of Surgery.

In The Last Decade

Ping Dang

9 papers receiving 802 citations

Hit Papers

Selective BRAFV600E Inhibition Enhances T-Cell Recognitio... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Ping Dang
Comparison fields: 5 of 79
  • Oncology 522
  • Molecular Biology 380
  • Immunology 243
  • Pulmonary and Respiratory Medicine 171
  • Surgery 107
Replace Yelena Ustoyev with:
Yelena Ustoyev United States
Dan He China
Keyu Li China
Naoki Akanuma Japan
Masahiro Hirakawa Japan
Giulia Grazia Italy
Nai‐Jung Chiang Taiwan
Shixue Chen China
Masayuki Shinkai Japan
Zhiyuan Jiang China
Yelena Ustoyev United States View profile →
Citations per field, relative to Ping Dang
Ping Dang · 1×
Citations per year, relative to Ping Dang
Ping Dang · 1×

Countries citing papers authored by Ping Dang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Dang

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 2
2 25
3 7
4 5
5 6
6 164
7 10
8
Selective BRAFV600E Inhibition Enhances T-Cell Recognition of Melanoma without Affecting Lymphocyte Function breakdown →
574
9 21

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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