Xin Tian

4.5k citations
32 papers · 3.1k indexed · 1 hit paper · h-index 23
Topics
Genetic and Kidney Cyst Diseases (27 papers)Renal and related cancers (16 papers)Biomedical Research and Pathophysiology (12 papers)
Partner nations
United StatesChinaItaly

In The Last Decade

Xin Tian

32 papers receiving 3.1k citations

Hit Papers

Two Populations of Node Monocilia Initiate Left-Right Asy...20032026201020182003200400600

Peers

Xin Tian
Comparison fields: 5 of 98
  • Genetics 2.4k
  • Molecular Biology 2.3k
  • Pathology and Forensic Medicine 640
  • Cell Biology 393
  • Surgery 348
Replace Yiqiang Cai with:
Yiqiang Cai United States
Robin L. Maser United States
Markus Schueler Germany
Thomas Floß Germany
Juliette Hadchouel France
Eugene M. Rinchik United States
Heidi Holtgreve-Grez Germany
Zoë Webster United Kingdom
Ron Wisdom United States
Susumu Sekine Japan
Xin Tian relative to Yiqiang Cai United States Yiqiang Cai's profile →
Citations per field
00.5×
Yiqiang Cai · 1×
Citations per year

Countries citing papers authored by Xin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Tian. A scholar is included among the top collaborators of Xin Tian 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 Xin Tian. Xin Tian 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 3
2 4
3 33
4 63
5 6
6 15
7 269
8 49
9 34
10 70
11 71
12 92
13 233
14 65
15 126
16 135
17 209
18
Two Populations of Node Monocilia Initiate Left-Right Asymmetry in the Mousebreakdown →
610
19 134
20 62

About Xin Tian

Xin Tian is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 32 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (27 papers), Renal and related cancers (16 papers) and Biomedical Research and Pathophysiology (12 papers). The work is most often cited by research in Genetics (2.4k citations), Pathology and Forensic Medicine (640 citations) and Molecular Biology (2.3k citations). Xin Tian has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Stefan Somlo, Peter Igarashi, Martina Brueckner, Svetlana Makova, James McGrath, Ming Ma, Zhiheng Yu, Yiqiang Cai, Lin Geng and Gregory J. Pazour. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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