Tianyuan Lu

2.6k citations
55 papers · 1.1k indexed · 1 hit paper · h-index 15
Topics
Genetic Associations and Epidemiology (29 papers)Bioinformatics and Genomic Networks (8 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)

In The Last Decade

Tianyuan Lu

52 papers receiving 1.1k citations

Hit Papers

Genomic atlas of the plasma metabolome prioritizes metabo...20232026202420252023100200300400

Peers

Tianyuan Lu
Comparison fields: 5 of 118
  • Molecular Biology 505
  • Genetics 336
  • Cancer Research 125
  • Epidemiology 114
  • Physiology 105
Replace Zoë May Pendlington with:
Zoë May Pendlington United Kingdom
Nana Matoba United States
Sarah A. Gagliano Taliun Canada
Arno Ruusalepp Estonia
Luz D. Orozco United States
Jialu Hu China
Christian Benner Finland
Heike Bickeböller Germany
Tertius Hough United Kingdom
Sarah Dedeurwaerder Belgium
Tianyuan Lu relative to Zoë May Pendlington United Kingdom Zoë May Pendlington's profile →
Citations per field
00.5×10×
Zoë May Pendlington · 1×
Citations per year

Countries citing papers authored by Tianyuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tianyuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyuan Lu. A scholar is included among the top collaborators of Tianyuan Lu 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 Tianyuan Lu. Tianyuan Lu 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
#WorkIndexed citations
1 1
2 1
3 1
4 8
5 5
6 32
7 26
8 2
9 1
10 1
11 4
12 9
13 1
14 11
15 20
16 5
17 6
18 43
19 30
20 14

About Tianyuan Lu

Tianyuan Lu is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (29 papers), Bioinformatics and Genomic Networks (8 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Genetics (336 citations), Cancer Research (125 citations) and Molecular Biology (505 citations). Tianyuan Lu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Celia M.T. Greenwood, J. Brent Richards, Vincenzo Forgetta, Sirui Zhou, Satoshi Yoshiji, Guillaume Butler‐Laporte, Tomoko Nakanishi, Yiheng Chen, Yossi Farjoun and Kevin Y. H. Liang. Their work appears in journals such as Nature Communications, Nature Genetics and Bioinformatics.

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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