Li-Nan Chen

1.6k citations
33 papers · 792 · h-index 16

Impact in

Papers in

Li-Nan Chen

28 papers receiving 789 citations

Peers

Li-Nan Chen
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 186
  • Molecular Biology 414
  • Endocrine and Autonomic Systems 35
  • Neurology 37
  • Endocrinology, Diabetes and Metabolism 59
Replace Haoyu Mao with:
Haoyu Mao China
Qingqing Wu China
Jingwen Yu China
Zhihong Zhong China
Irina Odinokova Russia
Zhou China
Shan Ma China
Xueyang Pan United States
Yin Wang China
Wenhui Yan China
Li-Nan Chen relative to Haoyu Mao China Haoyu Mao's profile →
Citations per field
00.5×9.3×
Haoyu Mao · 1×
Citations per year

Countries citing papers authored by Li-Nan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Li-Nan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201488
2 202085
3 201378
4 202166
5 202160
6 201958
7 201346
8 202144
9 202242
10 201536
11 202229
12 202228
13 202425
14 202220
15 202317
16 202315
17 202412
18
Effects of integrated nutrient management on lodging resistance of rice in cold area.
201010
19 201010
20 20236

About Li-Nan Chen

Li-Nan Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Nutrition and Dietetics and Agronomy and Crop Science, having authored 33 papers that have together received 792 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (4 papers), Rice Cultivation and Yield Improvement (3 papers), Crop Yield and Soil Fertility (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA regulation and disease (2 papers), Irrigation Practices and Water Management (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (186 citations), Molecular Biology (414 citations), Endocrine and Autonomic Systems (35 citations), Neurology (37 citations) and Endocrinology, Diabetes and Metabolism (59 citations). Li-Nan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yan Zhang, Dandan Shen, Chunyou Mao, Qingya Shen, Huibing Zhang, H. Eric Xu, Antao Dai, Ming‐Wei Wang, Un Jung Kang and Najeeb U. Siddiqui. Their work appears in journals such as Nature Communications, Cell Research, Fish & Shellfish Immunology, Molecular Cell and Phytochemical Analysis.

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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