Yunyun Han

2.0k citations
30 papers · 997 indexed · 1 hit paper · h-index 17
Topics
Neuroscience and Neuropharmacology Research (8 papers)Cellular transport and secretion (4 papers)Neural dynamics and brain function (3 papers)

In The Last Decade

Yunyun Han

28 papers receiving 991 citations

Hit Papers

RIM Determines Ca2+ Channel Density and Vesicle Docking a...2011202620162021201150100150200250

Peers

Yunyun Han
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 527
  • Molecular Biology 469
  • Cell Biology 281
  • Cognitive Neuroscience 270
  • Biophysics 75
Replace Carsten Reißner with:
Carsten Reißner Germany
Miguel Morales Spain
Hongfeng Gao United States
Christopher Magnus United States
Sung Eun Kwon United States
Chad P. Grabner United States
Yifeng Zhang China
Ron L. P. Habets Netherlands
Shoji Komai Japan
Masha Prager‐Khoutorsky Canada
Yunyun Han relative to Carsten Reißner Germany Carsten Reißner's profile →
Citations per field
00.5×1.5×2.1×
Carsten Reißner · 1×
Citations per year

Countries citing papers authored by Yunyun Han

Since Specialization
Citations

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

Fields of papers citing papers by Yunyun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunyun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yunyun Han. A scholar is included among the top collaborators of Yunyun Han 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 Yunyun Han. Yunyun Han 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 0
2 0
3 12
4 1
5 5
6 9
7 3
8 12
9 14
10 10
11 2
12 26
13 20
14 30
15 27
16 19
17 40
18 30
19 18
20 56

About Yunyun Han

Yunyun Han is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Physiology, having authored 30 papers that have together received 997 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Cellular transport and secretion (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (527 citations), Cell Biology (281 citations) and Cognitive Neuroscience (270 citations). Yunyun Han has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Ralf Schneggenburger, Pascal S. Kaeser, Thomas C. Südhof, Olexiy Kochubey, Thomas D. Mrsic‐Flogel, Robert A. A. Campbell, Fabia Imhof, Anthony M. Zador, Justus M. Kebschull and Michael Pecka. Their work appears in journals such as Nature, Nature Communications and Neuron.

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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