Nanye Long

1.3k total citations
26 papers, 829 citations indexed

About

Nanye Long is a scholar working on Genetics, Molecular Biology and Atmospheric Science. According to data from OpenAlex, Nanye Long has authored 26 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Atmospheric Science. Recurrent topics in Nanye Long's work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Geology and Paleoclimatology Research (3 papers). Nanye Long is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Geology and Paleoclimatology Research (3 papers). Nanye Long collaborates with scholars based in United States, China and Spain. Nanye Long's co-authors include Daniel Gianola, Guilherme J. M. Rosa, K.A. Weigel, Thomas Urban, Naga Chalasani, Wen Huang, Óscar González-Recio, Hasan Khatib, Andrzej S. Kosinski and Zhen Zhao and has published in prestigious journals such as Annals of Surgery, Scientific Reports and Genetics.

In The Last Decade

Nanye Long

26 papers receiving 807 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nanye Long United States 15 331 194 190 134 112 26 829
Min Guo China 20 104 0.3× 44 0.2× 39 0.2× 348 2.6× 102 0.9× 57 1.0k
Susan Robertson Australia 16 185 0.6× 66 0.3× 21 0.1× 22 0.2× 48 0.4× 85 832
Silvia Degli Esposti United States 15 54 0.2× 21 0.1× 86 0.5× 192 1.4× 209 1.9× 28 975
Giulia Ronchetti Italy 10 56 0.2× 103 0.5× 29 0.2× 100 0.7× 12 0.1× 23 899
Wenjun Wei China 19 59 0.2× 62 0.3× 28 0.1× 135 1.0× 55 0.5× 75 1.1k
Fang Du China 20 94 0.3× 100 0.5× 17 0.1× 32 0.2× 23 0.2× 60 1.0k
Noriko Yamanaka Japan 18 37 0.1× 118 0.6× 24 0.1× 37 0.3× 32 0.3× 38 1.1k
Hitomi Hasegawa Japan 16 73 0.2× 53 0.3× 15 0.1× 63 0.5× 28 0.3× 51 926
James E. Brown United States 19 48 0.1× 128 0.7× 22 0.1× 92 0.7× 34 0.3× 57 1.0k
J. G. Zinkl United States 18 57 0.2× 82 0.4× 101 0.5× 34 0.3× 10 0.1× 42 1.3k

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-authorship network of co-authors of Nanye Long

This figure shows the co-authorship network connecting the top 25 collaborators of Nanye Long. A scholar is included among the top collaborators of Nanye Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nanye Long. Nanye Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dai, Zhijun, Nanye Long, & Wen Huang. (2019). Influence of Genetic Interactions on Polygenic Prediction. G3 Genes Genomes Genetics. 10(1). 109–115. 13 indexed citations
2.
Urban, Thomas, Paola Nicoletti, Naga Chalasani, et al.. (2017). Minocycline hepatotoxicity: Clinical characterization and identification of HLA-B∗35:02 as a risk factor. Journal of Hepatology. 67(1). 137–144. 98 indexed citations
3.
Beaudoin, James J., Nanye Long, Suthat Liangpunsakul, et al.. (2017). An exploratory genome-wide analysis of genetic risk for alcoholic hepatitis. Scandinavian Journal of Gastroenterology. 52(11). 1263–1269. 14 indexed citations
4.
Boer, Ynto S. de, Andrzej S. Kosinski, Thomas Urban, et al.. (2016). Characterizing Drug-Induced Liver Injury With Autoimmune Features Reply. Clinical Gastroenterology and Hepatology. 14(12). 1845–1846. 2 indexed citations
5.
Boer, Ynto S. de, Andrzej S. Kosinski, Thomas Urban, et al.. (2016). Features of Autoimmune Hepatitis in Patients With Drug-induced Liver Injury. Clinical Gastroenterology and Hepatology. 15(1). 103–112.e2. 142 indexed citations
6.
Church, Rachel J., Daniel M. Gatti, Thomas Urban, et al.. (2014). Sensitivity to hepatotoxicity due to epigallocatechin gallate is affected by genetic background in diversity outbred mice. Food and Chemical Toxicology. 76. 19–26. 69 indexed citations
7.
Huang, Tao, Liguang Sun, Nanye Long, Yuhong Wang, & Wen Huang. (2013). Penguin tissue as a proxy for relative krill abundance in East Antarctica during the Holocene. Scientific Reports. 3(1). 2807–2807. 19 indexed citations
8.
Long, Nanye, et al.. (2013). Leveraging Prior Information to Detect Causal Variants via Multi-Variant Regression. PLoS Computational Biology. 9(6). e1003093–e1003093. 8 indexed citations
9.
Huang, Wen, Nanye Long, & Hasan Khatib. (2012). Genome‐wide identification and initial characterization of bovine long non‐coding RNAs from EST data. Animal Genetics. 43(6). 674–682. 58 indexed citations
10.
Jia, Nan, et al.. (2012). Distributions and impact factors of antimony in topsoils and moss in Ny-Ålesund, Arctic. Environmental Pollution. 171. 72–77. 9 indexed citations
11.
Long, Nanye, Daniel Gianola, Guilherme J. M. Rosa, & K.A. Weigel. (2011). Marker-assisted prediction of non-additive genetic values. Genetica. 139(7). 843–854. 23 indexed citations
12.
Long, Nanye, Daniel Gianola, Guilherme J. M. Rosa, & K.A. Weigel. (2011). Long-term impacts of genome-enabled selection. Journal of Applied Genetics. 52(4). 467–480. 14 indexed citations
13.
Long, Nanye, Daniel Gianola, Guilherme J. M. Rosa, & K.A. Weigel. (2011). Application of support vector regression to genome-assisted prediction of quantitative traits. Theoretical and Applied Genetics. 123(7). 1065–1074. 82 indexed citations
14.
Long, Nanye, Daniel Gianola, Guilherme J. M. Rosa, et al.. (2010). Radial basis function regression methods for predicting quantitative traits using SNP markers. Genetics Research. 92(3). 209–225. 43 indexed citations
15.
Yuan, Linxi, Liguang Sun, Gangjian Wei, et al.. (2010). 9,400 yr B.P.: the mortality of mollusk shell (Mya truncata) at high Arctic is associated with a sudden cooling event. Environmental Earth Sciences. 63(6). 1385–1393. 9 indexed citations
16.
Long, Nanye, Daniel Gianola, Guilherme J. M. Rosa, K.A. Weigel, & Santiago Avendaño. (2009). Comparison of classification methods for detecting associations between SNPs and chick mortality. Genetics Selection Evolution. 41(1). 18–18. 14 indexed citations
17.
Yuan, Linxi, Liguang Sun, Nanye Long, et al.. (2009). Seabirds colonized Ny-Ålesund, Svalbard, Arctic ~9,400 years ago. Polar Biology. 33(5). 683–691. 34 indexed citations
18.
Wang, Xiaofei, et al.. (2007). Source of and potential bio-indicator for the heavy metal pollution in Ny-Ålesund, Arctic. ADVANCES IN POLAR SCIENCE. 110–121. 1 indexed citations
19.
Wang, Xinming, et al.. (2005). Characteristics of carbonaceous aerosol in a two-week campaign at Ny-Ålesund. ADVANCES IN POLAR SCIENCE. 101–108. 1 indexed citations
20.
Wang, Yuhong, Wei Li, Tongtong Zhang, et al.. (2005). Reconstruction of ancient genome and gene order from complete microbial genome sequences. Journal of Theoretical Biology. 239(4). 494–498. 5 indexed citations

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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