Lingyan Ping

2.4k citations
70 papers · 836 · h-index 16

Impact in

Papers in

Lingyan Ping

65 papers receiving 825 citations

Peers

Lingyan Ping
Comparison fields: 5 of 67
  • Pathology and Forensic Medicine 341
  • Genetics 139
  • Oncology 339
  • Immunology 179
  • Hematology 62
Replace Gabriela Mladonická Pavlasová with:
Gabriela Mladonická Pavlasová Czechia
Kushi Kushekhar Norway
Ahmed Younes United States
Hiroaki Tanaka Japan
Kaija Vasala Finland
Bernarda Kazanowska Poland
Jennifer L. Crombie United States
Milos J. Janicek United States
Martha Glenn United States
Connie Lee Batlevi United States
Lingyan Ping relative to Gabriela Mladonická Pavlasová Czechia Gabriela Mladonická Pavlasová's profile →
Citations per field
00.5×4.3×
Gabriela Mladonická Pavlasová · 1×
Citations per year

Countries citing papers authored by Lingyan Ping

Since Specialization
Citations

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

Fields of papers citing papers by Lingyan Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 201778
3 201360
4 201558
5 202050
6 201631
7 201929
8 201726
9 201924
10 202421
11 201420
12 201820
13 201419
14 202218
15 201617
16 201517
17 201812
18 201311
19 201711
20 201911

About Lingyan Ping

Lingyan Ping is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Genetics and Immunology, having authored 70 papers that have together received 836 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (41 papers), Chronic Lymphocytic Leukemia Research (10 papers), Viral-associated cancers and disorders (8 papers), CAR-T cell therapy research (6 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Advanced Breast Cancer Therapies (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (341 citations), Genetics (139 citations), Oncology (339 citations), Immunology (179 citations) and Hematology (62 citations). Lingyan Ping has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Jun Zhu, Yuqin Song, Yan Xie, Weiping Liu, Zhitao Ying, Wen Zheng, Ningjing Lin, Meifeng Tu, Xiaopei Wang and Lijuan Deng. Their work appears in journals such as Cancer Cell International, Blood, Oncotarget, Hematological Oncology and International Journal of 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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