Kening Lu

431 citations
13 papers · 273 · h-index 8

Impact in

    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Plant Stress Responses and Tolerance
    • Plant Virus Research Studies
    • Research in Cotton Cultivation
    • Plant nutrient uptake and metabolism

Papers in

    • Research in Cotton Cultivation 4
    • Plant Molecular Biology Research 4
    • Plant Virus Research Studies 2
    • Chromosomal and Genetic Variations 1

Kening Lu

13 papers receiving 271 citations

Peers

Kening Lu
Comparison fields: 5 of 46
  • Plant Science 174
  • Endocrinology 18
  • Molecular Biology 93
  • Genetics 29
  • Cancer Research 14
Replace Shan Meng with:
Shan Meng China
Morten Hillmer Germany
Thomas Roulé United States
О. Г. Давыденко Belarus
Sha Yu China
Chao Qin China
Zuzana Tulpová Czechia
Kristen M. Laricchia United States
Steven Pastor United States
Kening Lu relative to Shan Meng China Shan Meng's profile →
Citations per field
00.5×7.5×
Shan Meng · 1×
Citations per year

Countries citing papers authored by Kening Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kening Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2021105
2 202444
3 202137
4 202329
5 202319
6 202110
7 20219
8 20238
9 20234
10 20233
11 20243
12 20251
13 20251

About Kening Lu

Kening Lu is a scholar working on Plant Science, Molecular Biology, Pathology and Forensic Medicine, Genetics and Nephrology, having authored 13 papers that have together received 273 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (4 papers), Plant Molecular Biology Research (4 papers), Plant Virus Research Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Systemic Sclerosis and Related Diseases (1 paper), Salivary Gland Disorders and Functions (1 paper), Chromosomal and Genetic Variations (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Plant Science (174 citations), Endocrinology (18 citations), Molecular Biology (93 citations), Genetics (29 citations) and Cancer Research (14 citations). Kening Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingxin Song, Z. Jeffrey Chen, Shuai Cao, Peitong Wang, Longfei Wang, Fang‐Jie Zhao, Xueying Guan, Ting Zhao, Xiaoyuan Tao and Quanjia Chen. Their work appears in journals such as Clinical Rheumatology, Advanced Science, Cell Reports, The Plant Cell and Arthritis Research & Therapy.

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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