Junjiao Li

425 citations
22 papers · 298 · h-index 9

Impact in

Papers in

Junjiao Li

20 papers receiving 288 citations

Peers

Junjiao Li
Comparison fields: 5 of 42
  • Behavioral Neuroscience 54
  • Cognitive Neuroscience 120
  • Plant Science 150
  • Cellular and Molecular Neuroscience 60
  • Endocrinology 14
Replace Zi-Jian Cai with:
Zi-Jian Cai China
Eui Ho Park South Korea
Jian Jiang China
Özgür Tataroğlu United States
Jonathan Kuo United States
Bernhard Schaefke China
Toshihiko Nakajima Japan
Julia Zhang United States
Alan Kania Poland
Julia Schröder Germany
Junjiao Li relative to Zi-Jian Cai China Zi-Jian Cai's profile →
Citations per field
00.5×10×14×
Zi-Jian Cai · 1×
Citations per year

Countries citing papers authored by Junjiao Li

Since Specialization
Citations

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

Fields of papers citing papers by Junjiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 201740
3 201837
4 201830
5 201726
6 201921
7 202114
8 201914
9 202113
10 20198
11 20228
12 20188
13 20186
14 20205
15 20214
16 20214
17 20213
18 20241
19 20221
20 20191

About Junjiao Li

Junjiao Li is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Experimental and Cognitive Psychology and Plant Science, having authored 22 papers that have together received 298 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (9 papers), Stress Responses and Cortisol (7 papers), Plant-Microbe Interactions and Immunity (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Memory Processes and Influences (3 papers), Plant Virus Research Studies (3 papers) and Psychology of Moral and Emotional Judgment (2 papers). The work is most often cited by research in Behavioral Neuroscience (54 citations), Cognitive Neuroscience (120 citations), Plant Science (150 citations), Cellular and Molecular Neuroscience (60 citations) and Endocrinology (14 citations). Junjiao Li has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Xiaofeng Dai, Zhiqiang Kong, Lei Zhou, Dandan Zhang, Jieyin Chen, Ting‐Gang Li, Krishna V. Subbarao, Liang Xu, Steven J. Klosterman and Dylan P. G. Short. Their work appears in journals such as Frontiers in Plant Science, Molecular Plant Pathology, Frontiers in Psychology, Behaviour Research and Therapy and Social Cognitive and Affective Neuroscience.

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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