Ben Lv

553 citations
13 papers · 401 indexed · h-index 9

Impact in

    • Advanced Glycation End Products research
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation

Papers in

Ben Lv

13 papers receiving 396 citations

Peers

Ben Lv
Comparison fields: 5 of 90
  • Clinical Biochemistry 52
  • Immunology 134
  • Critical Care and Intensive Care Medicine 19
  • Nephrology 21
  • Pharmacology 23
Replace Yusheng Han with:
Yusheng Han United States
Latha Paka United States
Adelheid Kratzer United States
Priscila Ramos‐Mozo Spain
Lanfeng Wang China
Hassan A. Hamali Saudi Arabia
Karen M. Kassel United States
Yunxia Du China
Sri Harsha Kanuri United States
Bilgen Ekim Üstünel Germany
Ben Lv relative to Yusheng Han United States Yusheng Han's profile →
Citations per field
00.5×9.8×
Yusheng Han · 1×
Citations per year

Countries citing papers authored by Ben Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ben Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202128
2 201817
3 201723
4 201779
5 201531
6
Establishment of stable multiple myeloma cell line with overexpressed PDCD5 and its proapoptosis mechanism.
20152
7 201595
8 201515
9 20155
10 20094
11 20096
12 200969
13 200827

About Ben Lv

Ben Lv is a scholar working on Clinical Biochemistry, Nephrology, Immunology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 401 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Renal Diseases and Glomerulopathies (2 papers), Immune Response and Inflammation (2 papers), Neuropeptides and Animal Physiology (2 papers), Advanced Glycation End Products research (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Machine Learning in Materials Science (1 paper) and Antiplatelet Therapy and Cardiovascular Diseases (1 paper). The work is most often cited by research in Clinical Biochemistry (52 citations), Immunology (134 citations), Critical Care and Intensive Care Medicine (19 citations), Nephrology (21 citations) and Pharmacology (23 citations). Ben Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fangping Chen, Lin Li, Jin Liu, Xinyu Yang, Yiting Tang, Xianzhong Xiao, Haichao Wang, Fan Zhang, Aiping Lü and Alex F. Chen. Their work appears in journals such as International Immunopharmacology, Scientific Reports, RSC Advances, Nature Communications and Acta Biochimica et Biophysica Sinica.

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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