Hailing Su

2.5k total citations
32 papers, 1.9k citations indexed

About

Hailing Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Hailing Su has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in Hailing Su's work include Neuroscience and Neuropharmacology Research (18 papers), Nicotinic Acetylcholine Receptors Study (9 papers) and Ion channel regulation and function (7 papers). Hailing Su is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Nicotinic Acetylcholine Receptors Study (9 papers) and Ion channel regulation and function (7 papers). Hailing Su collaborates with scholars based in United States, Israel and Germany. Hailing Su's co-authors include Yoel Yaari, Diane K. O’Dowd, Heinz Beck, Cuiyong Yue, E Sanabria, G. Alroy, Eilon D. Kirson, Stefan Remy, Д. Г. Сочивко and Henry Klassen and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Hailing Su

31 papers receiving 1.9k citations

Peers

Hailing Su
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 1.0k
  • Cognitive Neuroscience 438
  • Psychiatry and Mental health 223
  • Genetics 181
Replace Vladimir V. Senatorov with:
Vladimir V. Senatorov United States
Nicholas W. Plummer United States
Laura Pozzi Italy
Duk-Su Koh United States
Nobutsune Ichihara Japan
Sophie Feldblum France
Mala M. Shah United Kingdom
Gilles Sansig Switzerland
Alexis‐Pierre Bemelmans France
Henry H.C. Lee United States
Vladimir V. Senatorov United States View profile →
Citations per field, relative to Hailing Su
Hailing Su · 1×
Citations per year, relative to Hailing Su
Hailing Su · 1×

Countries citing papers authored by Hailing Su

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailing Su

This figure shows the co-authorship network connecting the top 25 collaborators of Hailing Su. A scholar is included among the top collaborators of Hailing Su 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 Hailing Su. Hailing Su 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
# Work Indexed citations
1 1
2 0
3 7
4 14
5 15
6 24
7 22
8 54
9 31
10 68
11 35
12 98
13 153
14 202
15 68
16 49
17 26
18 8
19 37
20 18

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026