Nanye Long

1.3k citations
27 papers · 841 · h-index 15

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
  • Hepatology top 10%
    • Liver Diseases and Immunity

Papers in

    • Genetic and phenotypic traits in livestock 9
    • Genetic Mapping and Diversity in Plants and Animals 8
    • Gene expression and cancer classification 2

Nanye Long

27 papers receiving 821 citations

Peers

Nanye Long
Comparison fields: 5 of 115
  • Pharmacology 180
  • Hepatology 93
  • Genetics 312
  • Plant Science 175
  • Cancer Research 58
Replace Susan Robertson with:
Susan Robertson Australia
Min Guo China
Sheldon M. Epstein United States
James E. Brown United States
John P. Buchweitz United States
J. G. Zinkl United States
Noriko Yamanaka Japan
Hitomi Hasegawa Japan
Yong Shao China
Chenchen Ding China
Nanye Long relative to Susan Robertson Australia Susan Robertson's profile →
Citations per field
00.5×
Susan Robertson · 1×
Citations per year

Countries citing papers authored by Nanye Long

Since Specialization
Citations

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

Fields of papers citing papers by Nanye Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 2017102
3 200891
4 201184
5 201470
6 201258
7 201044
8 201141
9 200935
10 201123
11 201319
12 195317
13 201114
14 200914
15 201714
16 201214
17 201913
18 20109
19 20129
20 20138

About Nanye Long

Nanye Long is a scholar working on Genetics, Molecular Biology, Atmospheric Science, Animal Science and Zoology and Pharmacology, having authored 27 papers that have together received 841 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Geology and Paleoclimatology Research (3 papers), Animal Nutrition and Physiology (3 papers), Genetics and Plant Breeding (3 papers), Isotope Analysis in Ecology (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Pharmacology (180 citations), Hepatology (93 citations), Genetics (312 citations), Plant Science (175 citations) and Cancer Research (58 citations). Nanye Long has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Daniel Gianola, Guilherme J. M. Rosa, K.A. Weigel, Thomas Urban, Naga Chalasani, Wen Huang, Óscar González-Recio, Hasan Khatib, Jay H. Hoofnagle and Santiago Avendaño. Their work appears in journals such as Genetics, Clinical Gastroenterology and Hepatology, G3 Genes Genomes Genetics, Polar Biology and Scandinavian Journal of Gastroenterology.

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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