Longzhi Tan

2.8k citations
23 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
Single-cell and spatial transcriptomics (9 papers)Biochemical Analysis and Sensing Techniques (9 papers)Olfactory and Sensory Function Studies (9 papers)

In The Last Decade

Longzhi Tan

23 papers receiving 1.2k citations

Hit Papers

Three-dimensional genome structures of single diploid hum...20182026202020232018100200300

Peers

Longzhi Tan
Comparison fields: 5 of 81
  • Molecular Biology 914
  • Cancer Research 255
  • Genetics 221
  • Sensory Systems 209
  • Nutrition and Dietetics 173
Replace Fumikiyo Nagawa with:
Fumikiyo Nagawa Japan
Daniele Canzio United States
Jung-Bum Shin United States
Plamen Georgiev Germany
Hanae Sato United States
Natalia H. Revelo Netherlands
Francisco Rivero United Kingdom
Can Cenik United States
Robert Pinard United States
Nobuyuki Shiina Japan
Longzhi Tan relative to Fumikiyo Nagawa Japan Fumikiyo Nagawa's profile →
Citations per field
00.5×10×20×30×39.4×
Fumikiyo Nagawa · 1×
Citations per year

Countries citing papers authored by Longzhi Tan

Since Specialization
Citations

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

Fields of papers citing papers by Longzhi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longzhi Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Longzhi Tan. A scholar is included among the top collaborators of Longzhi Tan 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 Longzhi Tan. Longzhi Tan 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 6
2 1
3 3
4 38
5 12
6 28
7 13
8 5
9 13
10 44
11 15
12 4
13 108
14 81
15 34
16 41
17 116
18 24
19 9
20 59

About Longzhi Tan

Longzhi Tan is a scholar working on Sensory Systems, Nutrition and Dietetics and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Biochemical Analysis and Sensing Techniques (9 papers) and Olfactory and Sensory Function Studies (9 papers). The work is most often cited by research in Sensory Systems (209 citations), Cancer Research (255 citations) and Molecular Biology (914 citations). Longzhi Tan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Dong Xing, Xiaohui Xie, Heng Li, X. Sunney Xie, Guangyu Zhou, Qian Li, Chongyi Chen, Lei Huang, Jeff Gore and Honggui Wu. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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