Lanxin Ji

1.9k citations
22 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
Functional Brain Connectivity Studies (8 papers)Neonatal and fetal brain pathology (5 papers)Advanced MRI Techniques and Applications (4 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Lanxin Ji

21 papers receiving 1.3k citations

Hit Papers

Adjusting multiple testing in multilocus analyses using t...20052026201220192005250500750

Peers

Lanxin Ji
Comparison fields: 5 of 128
  • Genetics 402
  • Molecular Biology 317
  • Plant Science 169
  • Cognitive Neuroscience 159
  • Physiology 142
Replace Phil H. Lee with:
Phil H. Lee United States
Ulrike Kaufmann Austria
Lawrence A. Rodriguez United States
Michael B. Miller United States
Sarah G. Buxbaum United States
Janet L. Sobell United States
Charles Curtis United Kingdom
Rita M. Cantor United States
Elizabeth T. Cirulli United States
Hilde de Kluiver Netherlands
Lanxin Ji relative to Phil H. Lee United States Phil H. Lee's profile →
Citations per field
00.5×3.4×
Phil H. Lee · 1×
Citations per year

Countries citing papers authored by Lanxin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Lanxin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanxin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Lanxin Ji. A scholar is included among the top collaborators of Lanxin Ji 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 Lanxin Ji. Lanxin Ji 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 0
4 4
5 1
6 3
7 6
8 4
9 9
10 11
11 24
12 6
13 39
14 16
15 91
16 9
17 2
18 37
19
Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrixbreakdown →
994
20 33

About Lanxin Ji

Lanxin Ji is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Neonatal and fetal brain pathology (5 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Genetics (402 citations), Biological Psychiatry (22 citations) and Cognitive Neuroscience (159 citations). Lanxin Ji has collaborated with scholars based in United States, China and France. Frequent co-authors include Jin Li, David C. Steffens, Hua Guo, Godfrey D. Pearlson, Moriah E. Thomason, Lihong Wang, Xuequan Zhu, Yingjun Xi, Lihong Wang and Chen Chen. Their work appears in journals such as Child Development, PLoS Biology and Molecular Psychiatry.

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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