Lisha Ying

1.6k citations
46 papers · 788 · h-index 16

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • RNA modifications and cancer 3
    • Pancreatic and Hepatic Oncology Research 6
    • Cancer Immunotherapy and Biomarkers 4
    • Inflammatory Biomarkers in Disease Prognosis 3

Lisha Ying

41 papers receiving 781 citations

Peers

Lisha Ying
Comparison fields: 5 of 83
  • Cancer Research 229
  • Oncology 371
  • Pulmonary and Respiratory Medicine 233
  • Molecular Biology 322
  • Immunology 90
Replace Xinyu Bi with:
Xinyu Bi China
Bo Young Oh South Korea
Alexander Gaber Sweden
Junzhou Wu China
Rebecca Feldman United States
Roman Groisberg United States
Jürgen Tepel Germany
Antonino Iaccarino Italy
Guichao Li China
Jia Luo United States
Lisha Ying relative to Xinyu Bi China Xinyu Bi's profile →
Citations per field
00.5×1.5×2.2×
Xinyu Bi · 1×
Citations per year

Countries citing papers authored by Lisha Ying

Since Specialization
Citations

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

Fields of papers citing papers by Lisha Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201692
2 201271
3 201766
4 201656
5 201356
6 202142
7 201239
8 201639
9 201635
10 201726
11 201925
12 201517
13 201817
14 201217
15
ADP-ribosylation factor-like 4C (ARL4C), a novel ovarian cancer metastasis suppressor, identified by integrated genomics.
201516
16 202415
17 201714
18 201613
19 201513
20 202012

About Lisha Ying

Lisha Ying is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Immunology, having authored 46 papers that have together received 788 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Cancer Genomics and Diagnostics (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Esophageal Cancer Research and Treatment (4 papers), Ferroptosis and cancer prognosis (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (229 citations), Oncology (371 citations), Pulmonary and Respiratory Medicine (233 citations), Molecular Biology (322 citations) and Immunology (90 citations). Lisha Ying has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Dan Su, Fanrong Zhang, Junzhou Wu, Kaiyan Chen, Jiaoyue Jin, Zhi‐Qiang Ling, Weimin Mao, Herbert Yu, Guoping Cheng and Jianguo Feng. Their work appears in journals such as Oncotarget, Journal of Translational Medicine, ACS Nano, Annals of Surgical Oncology and Cancer.

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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