Lijiang Long

438 citations
10 papers · 182 · h-index 8

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Parasitology top 10%
    • Parasites and Host Interactions

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 8
    • Evolution and Genetic Dynamics 5
    • Genetic Mapping and Diversity in Plants and Animals 2

Lijiang Long

10 papers receiving 180 citations

Peers

Lijiang Long
Comparison fields: 5 of 45
  • Aging 93
  • Parasitology 40
  • Small Animals 43
  • Endocrine and Autonomic Systems 24
  • Genetics 57
Replace Maxim V. Zagoskin with:
Maxim V. Zagoskin United States
M. Ma United States
Nausicaa Poullet France
Katy M. Monteith United Kingdom
Kimberley F. Prior United Kingdom
Yu. Yu. Ilinsky Russia
Alexandra Weyrich Germany
João Silveira Moledo Gesto Brazil
Bronwyn A. Rotgans Australia
Sara Meurling Sweden
Lijiang Long relative to Maxim V. Zagoskin United States Maxim V. Zagoskin's profile →
Citations per field
00.5×12×
Maxim V. Zagoskin · 1×
Citations per year

Countries citing papers authored by Lijiang Long

Since Specialization
Citations

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

Fields of papers citing papers by Lijiang Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202055
2 201832
3 201628
4 201721
5 202013
6 202111
7 202010
8 20197
9 20234
10 20211

About Lijiang Long

Lijiang Long is a scholar working on Aging, Genetics, Molecular Biology, Ecology and Small Animals, having authored 10 papers that have together received 182 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Evolution and Genetic Dynamics (5 papers), CRISPR and Genetic Engineering (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Helminth infection and control (1 paper), Circadian rhythm and melatonin (1 paper), Marine animal studies overview (1 paper) and Fish biology, ecology, and behavior (1 paper). The work is most often cited by research in Aging (93 citations), Parasitology (40 citations), Small Animals (43 citations), Endocrine and Autonomic Systems (24 citations) and Genetics (57 citations). Lijiang Long has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Patrick T. McGrath, Erik C. Andersen, Yuehui Zhao, Wen Xu, Steffen Hahnel, Clayton M. Dilks, Edward Large, Shannon C. Brady, Joshua S. Greene and Kathryn S. Evans. Their work appears in journals such as eLife, Nature Communications, PLoS Genetics, iScience and G3 Genes Genomes Genetics.

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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