Haojiang Luan

2.1k citations
18 papers · 1.3k indexed · h-index 14

Impact in

Papers in

Haojiang Luan

18 papers receiving 1.3k citations

Peers

Haojiang Luan
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 1.0k
  • Aging 85
  • Endocrine and Autonomic Systems 122
  • Ecology, Evolution, Behavior and Systematics 269
  • Genetics 365
Replace Fengqiu Diao with:
Fengqiu Diao United States
Suewei Lin Taiwan
Zhengmei Mao United States
Sen-Lin Lai United States
Karen L Hibbard United States
Marion Silies Germany
Nirmala Iyer United States
Keita Endo Japan
Randall S. Hewes United States
Burkhard Poeck Germany
Haojiang Luan relative to Fengqiu Diao United States Fengqiu Diao's profile →
Citations per field
00.5×1.5×
Fengqiu Diao · 1×
Citations per year

Countries citing papers authored by Haojiang Luan

Since Specialization
Citations

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

Fields of papers citing papers by Haojiang Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20251
2 202311
3 202016
4 202040
5 20205
6 201854
7 201730
8 201618
9 2015212
10 201441
11 20131
12 201333
13 201219
14 2008213
15 200889
16 200730
17 2006318
18 2006148

About Haojiang Luan

Haojiang Luan is a scholar working on Cellular and Molecular Neuroscience, Aging, Ecology, Evolution, Behavior and Systematics, Genetics and Immunology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Animal Behavior and Reproduction (6 papers), CRISPR and Genetic Engineering (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Plant Molecular Biology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers), interferon and immune responses (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Aging (85 citations), Endocrine and Autonomic Systems (122 citations), Ecology, Evolution, Behavior and Systematics (269 citations) and Genetics (365 citations). Haojiang Luan has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Benjamin H. White, Nathan C. Peabody, Charles Vinson, Fengqiu Diao, Christopher J. Potter, William C. Shropshire, John Ewer, Ward F. Odenwald, Feici Diao and Matthias Landgraf. Their work appears in journals such as Journal of Neuroscience, Cell Reports, Neuron, Development and iScience.

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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