Li Pang

2.2k citations
63 papers · 1.6k · h-index 20

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

Li Pang

58 papers receiving 1.6k citations

Peers

Li Pang
Comparison fields: 5 of 111
  • Neurology 214
  • Immunology 346
  • Cancer Research 246
  • Developmental Neuroscience 64
  • Oncology 343
Replace You Li with:
You Li China
Xuebin Qu China
Rohini Polavarapu United States
M. D. Laryea Germany
Jianhua Rao China
Ismail Sergin United States
Sandra Grès France
Peng Gao China
Claudia Quezada Chile
Yuanyuan Du China
Li Pang relative to You Li China You Li's profile →
Citations per field
00.5×1.5×1.9×
You Li · 1×
Citations per year

Countries citing papers authored by Li Pang

Since Specialization
Citations

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

Fields of papers citing papers by Li Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transforming growth factor-beta 1 increases bad phosphorylation and protects neurons against damage.
2002217
2 2002196
3 1992144
4 2017114
5 2001111
6 199371
7 201571
8 202165
9 200159
10 202149
11 202043
12 202031
13 201731
14 202230
15 201630
16 201627
17 200823
18 201722
19 202121
20 202121

About Li Pang

Li Pang is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Hepatology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune cells in cancer (13 papers), Cancer Immunotherapy and Biomarkers (10 papers), Organ Transplantation Techniques and Outcomes (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (6 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Neurology (214 citations), Immunology (346 citations), Cancer Research (246 citations), Developmental Neuroscience (64 citations) and Oncology (343 citations). Li Pang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Alan R. Saltiel, Carsten Culmsee, Xiaoming Che, Josef Krieglstein, Guo‐Yuan Yang, Susanne Klumpp, Barbara Ahlemeyer, Christin Carter‐Su, T. MIYASAKA and George S. Campbell. Their work appears in journals such as Transplantation, Oncotarget, Cancer Research, BMC Cancer and Clinical & Translational Oncology.

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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