L Wang

543 citations
26 papers · 387 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Long-Term Effects of COVID-19

Papers in

    • CAR-T cell therapy research 2
    • COVID-19 and healthcare impacts 2
    • Cancer Treatment and Pharmacology 1
    • Musculoskeletal pain and rehabilitation 2

L Wang

23 papers receiving 381 citations

Peers

L Wang
Comparison fields: 5 of 83
  • Cancer Research 99
  • Neurology 92
  • Infectious Diseases 58
  • Critical Care and Intensive Care Medicine 16
  • Clinical Psychology 47
Replace Michael P. Mohning with:
Michael P. Mohning United States
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Marco Mattioli Italy
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L Wang relative to Michael P. Mohning United States Michael P. Mohning's profile →
Citations per field
00.5×10×20×29×
Michael P. Mohning · 1×
Citations per year

Countries citing papers authored by L Wang

Since Specialization
Citations

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

Fields of papers citing papers by L Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020100
2 201471
3 201569
4 201354
5 202430
6
Over-expression of c-fos mRNA in the hippocampal neurons in Alzheimer's disease.
199816
7 20217
8 20186
9 20185
10 20065
11 20244
12
[Roles of bifidobacterium on prevention of experimental colorectal carcinoma and induction of apoptosis].
19994
13 20203
14 20152
15
Microstructure and wear resistance of laser cladding NiCrMn-WC composite coatings
20142
16 20152
17 20241
18 20241
19 20241
20 20211

About L Wang

L Wang is a scholar working on Oncology, Pharmacology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 26 papers that have together received 387 indexed citations. Recurring topics across this work include Cancer Research and Treatments (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Anesthesia and Pain Management (2 papers), CAR-T cell therapy research (2 papers), Cancer-related molecular mechanisms research (2 papers), COVID-19 and healthcare impacts (2 papers), Cancer Treatment and Pharmacology (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Cancer Research (99 citations), Neurology (92 citations), Infectious Diseases (58 citations), Critical Care and Intensive Care Medicine (16 citations) and Clinical Psychology (47 citations). L Wang has collaborated with scholars based in China, Serbia and Hong Kong. Frequent co-authors include Wei Xiang, Shuyun Xu, Chao‐Yang Lu, Hua Jiang, Hua Xu, Wenting Liao, Na Huang, Haihong Huang, Lin Li and Xingwei He. Their work appears in journals such as Medical Physics, British Journal of Cancer, International Journal of Biological Macromolecules, British journal of surgery and Journal of Clinical Nursing.

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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