Jian‐Qiu Wu

6.6k citations
55 papers · 5.1k indexed · 1 hit paper · h-index 28
Topics
Fungal and yeast genetics research (35 papers)Microtubule and mitosis dynamics (25 papers)Cellular transport and secretion (13 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Jian‐Qiu Wu

53 papers receiving 5.0k citations

Hit Papers

Heterologous modules for efficient and versatile PCR-base...1998202620072016199850010001.5k

Peers

Jian‐Qiu Wu
Comparison fields: 5 of 125
  • Molecular Biology 4.2k
  • Cell Biology 2.9k
  • Plant Science 533
  • Cellular and Molecular Neuroscience 481
  • Biophysics 416
Replace Mohan K. Balasubramanian with:
Mohan K. Balasubramanian Singapore
Christine M. Field United States
Margaret Coughlin United States
Trisha N. Davis United States
Brian K. Haarer United States
Patricia Wadsworth United States
Isabelle Sagot France
Gohta Goshima Japan
Viesturs Simanis Switzerland
Yves Barral Switzerland
Jian‐Qiu Wu relative to Mohan K. Balasubramanian Singapore Mohan K. Balasubramanian's profile →
Citations per field
00.5×1.5×2.4×
Mohan K. Balasubramanian · 1×
Citations per year

Countries citing papers authored by Jian‐Qiu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Qiu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Qiu Wu. 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 Jian‐Qiu Wu. The network helps show where Jian‐Qiu Wu may publish in the future.

Co-authorship network of co-authors of Jian‐Qiu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Qiu Wu. A scholar is included among the top collaborators of Jian‐Qiu Wu 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 Jian‐Qiu Wu. Jian‐Qiu Wu 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 0
3 4
4 8
5 4
6 1
7 12
8 49
9 8
10 10
11 7
12 33
13 38
14 255
15 30
16 86
17 283
18 437
19 97
20 125

About Jian‐Qiu Wu

Jian‐Qiu Wu is a scholar working on Cell Biology, Biophysics and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 5.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (35 papers), Microtubule and mitosis dynamics (25 papers) and Cellular transport and secretion (13 papers). The work is most often cited by research in Cell Biology (2.9k citations), Aging (142 citations) and Biophysics (416 citations). Jian‐Qiu Wu has collaborated with scholars based in United States, China and France. Frequent co-authors include Thomas D. Pollard, John R. Pringle, Jürg Bähler, Nirav G. Shah, Peter Philippsen, Achim Wach, Mark S. Longtine, Valerie C. Coffman, I‐Ju Lee and J. R. Kuhn. Their work appears in journals such as Science, Nature Reviews Molecular Cell Biology and The Journal of Cell Biology.

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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