Jeng‐Wei Lu

2.1k citations
95 papers · 1.6k indexed · h-index 24

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Zebrafish Biomedical Research Applications

Papers in

Jeng‐Wei Lu

86 papers receiving 1.6k citations

Peers

Jeng‐Wei Lu
Comparison fields: 5 of 110
  • Cancer Research 313
  • Cell Biology 229
  • Molecular Biology 759
  • Virology 42
  • Infectious Diseases 159
Replace Arūnas Kazlauskas with:
Arūnas Kazlauskas Lithuania
Wojciech Ornatowski United States
Ansgar Brüning Germany
Xu Lin China
Chien‐Chin Chen Taiwan
Jim Jinn‐Chyuan Sheu Taiwan
Alexander V. Bocharov United States
Andreas Schröder Germany
Hideki Wakui Japan
Chunyan Tian China
Jeng‐Wei Lu relative to Arūnas Kazlauskas Lithuania Arūnas Kazlauskas's profile →
Citations per field
00.5×3.1×
Arūnas Kazlauskas · 1×
Citations per year

Countries citing papers authored by Jeng‐Wei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jeng‐Wei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeng‐Wei Lu. 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 Jeng‐Wei Lu. The network helps show where Jeng‐Wei Lu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20242
4 20243
5 20241
6 20240
7 20232
8 202310
9 202011
10 201917
11 201911
12 20189
13 201829
14 201831
15 20174
16 201456
17 201352
18 201212
19 201159
20 201129

About Jeng‐Wei Lu

Jeng‐Wei Lu is a scholar working on Cancer Research, Cell Biology, Hematology, Molecular Biology and Immunology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (12 papers), Mosquito-borne diseases and control (10 papers), Hydrogen's biological and therapeutic effects (9 papers), Pancreatic function and diabetes (9 papers), Acute Myeloid Leukemia Research (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (313 citations), Cell Biology (229 citations), Molecular Biology (759 citations), Virology (42 citations) and Infectious Diseases (159 citations). Jeng‐Wei Lu has collaborated with scholars based in Taiwan, Singapore and Denmark. Frequent co-authors include Yi‐Jung Ho, Chiou‐Hwa Yuh, Liang‐In Lin, Zhiyuan Gong, Yueh‐Min Lin, Horng‐Dar Wang, Kun‐Tu Yeh, Wan‐Yu Yang, Chang-Chi Lin and Rouh‐Mei Hu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Acta Histochemica, Biomedicines, PLoS ONE and Medical 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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