Yuning J. Tang

616 citations
21 papers · 330 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Bone health and treatments
    • Cancer Cells and Metastasis

Papers in

    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 3
    • Single-cell and spatial transcriptomics 2
    • Cancer Cells and Metastasis 4
    • CAR-T cell therapy research 2

Yuning J. Tang

18 papers receiving 330 citations

Peers

Yuning J. Tang
Comparison fields: 5 of 67
  • Cancer Research 82
  • Oncology 87
  • Immunology 66
  • Rheumatology 42
  • Molecular Biology 187
Replace Xun Sun with:
Xun Sun China
Yawen Ju United States
Yayoi Izu Japan
Elizabeth M. Chislock United States
Tianhui Zhu China
Dong L. Barraclough United Kingdom
Ruchika Srinivasan United States
Shelly Zaffryar‐Eilot Israel
Vice Mandic Canada
Yuning J. Tang relative to Xun Sun China Xun Sun's profile →
Citations per field
00.5×4.7×
Xun Sun · 1×
Citations per year

Countries citing papers authored by Yuning J. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yuning J. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuning J. Tang. 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 Yuning J. Tang. The network helps show where Yuning J. Tang may publish in the future.

Co-authors

The 25 scholars most cited alongside Yuning J. Tang, 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 Yuning J. Tang Line = papers co-authored together Yuning J. Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020137
2 201635
3 201925
4 202022
5 201821
6 201517
7 201916
8 202013
9 202310
10 20238
11 20227
12 20235
13 20253
14 20253
15 20222
16 20232
17 20212
18 20252
19 20250
20 20240

About Yuning J. Tang

Yuning J. Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 330 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Sarcoma Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), CRISPR and Genetic Engineering (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Single-cell and spatial transcriptomics (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (82 citations), Oncology (87 citations), Immunology (66 citations), Rheumatology (42 citations) and Molecular Biology (187 citations). Yuning J. Tang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Benjamin A. Alman, Vijitha Puviindran, Hongyuan Zhang, Puviindran Nadesan, Yasuhito Yahara, Tomokazu Souma, Yu Xiang, Tomasa Barrientos, Yarui Diao and Jason Gibson. Their work appears in journals such as Cell Reports, JCI Insight, Journal of Bone and Mineral Research, The Journal of Experimental Medicine and Clinical Cancer Research.

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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