Jun Jiang

10.0k citations
181 papers · 8.5k · h-index 56

Impact in

  • Aquatic Science top 0.01%
    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
  • Immunology top 0.2%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture disease management and microbiota 133
    • Invertebrate Immune Response Mechanisms 14
    • Aquaculture Nutrition and Growth 127

Jun Jiang

180 papers receiving 8.4k citations

Peers

Jun Jiang
Comparison fields: 5 of 117
  • Aquatic Science 5.7k
  • Immunology 5.5k
  • Physiology 773
  • Animal Science and Zoology 931
  • Health, Toxicology and Mutagenesis 797
Replace Sheng‐Yao Kuang with:
Sheng‐Yao Kuang China
Pei Wu China
Wei‐Dan Jiang China
Lin Feng China
Xiao‐Qiu Zhou China
Ling Tang China
Wenbing Zhang China
Pao Xu China
Qinghui Ai China
Bernardo Baldisserotto Brazil
Jun Jiang relative to Sheng‐Yao Kuang China Sheng‐Yao Kuang's profile →
Citations per field
00.5×1.5×
Sheng‐Yao Kuang · 1×
Citations per year

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014214
2 2014192
3 2017175
4 2014171
5 2014163
6 2011160
7 2016157
8 2014157
9 2014148
10 2013148
11 2015135
12 2014132
13 2016128
14 2014112
15 2012107
16 2009107
17 2013106
18 2016106
19 2015101
20 2009101

About Jun Jiang

Jun Jiang is a scholar working on Immunology, Aquatic Science, Molecular Biology, Ecology and Nutrition and Dietetics, having authored 181 papers that have together received 8.5k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (133 papers), Aquaculture Nutrition and Growth (127 papers), Physiological and biochemical adaptations (24 papers), Animal Nutrition and Physiology (17 papers), Environmental Toxicology and Ecotoxicology (15 papers), Invertebrate Immune Response Mechanisms (14 papers), Biochemical effects in animals (9 papers) and Reproductive biology and impacts on aquatic species (9 papers). The work is most often cited by research in Aquatic Science (5.7k citations), Immunology (5.5k citations), Physiology (773 citations), Animal Science and Zoology (931 citations) and Health, Toxicology and Mutagenesis (797 citations). Jun Jiang has collaborated with scholars based in China, Italy and Germany. Frequent co-authors include Xiao‐Qiu Zhou, Lin Feng, Wei‐Dan Jiang, Pei Wu, Sheng‐Yao Kuang, Ling Tang, Yong‐An Zhang, Wu‐Neng Tang, Yang Liu and Shuhong Li. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Aquaculture Nutrition, Fish Physiology and Biochemistry and Aquatic Toxicology.

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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