Song‐Lin Ding

15.7k citations
38 papers · 1.7k indexed · 1 hit paper · h-index 17
Topics
Neuroscience and Neuropharmacology Research (20 papers)Memory and Neural Mechanisms (17 papers)Neural dynamics and brain function (7 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

Song‐Lin Ding

37 papers receiving 1.7k citations

Hit Papers

Automated volumetry and regional thickness analysis of hi...20142026201820222014100200300

Peers

Song‐Lin Ding
Comparison fields: 5 of 103
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 497
  • Psychiatry and Mental health 407
  • Physiology 340
  • Radiology, Nuclear Medicine and Imaging 298
Replace Ana María Insausti Serrano with:
Ana María Insausti Serrano Spain
K. Jürgen Germany
Steven A. Chance United Kingdom
Tejal N. Mitchell United Kingdom
Viviane Sziklas Canada
Andrew J. D. Nelson United Kingdom
Thomas H. Wassink United States
M-M. Mesulam United States
Shigeru Obayashi Japan
Bradley Lega United States
Song‐Lin Ding relative to Ana María Insausti Serrano Spain Ana María Insausti Serrano's profile →
Citations per field
00.5×4.9×
Ana María Insausti Serrano · 1×
Citations per year

Countries citing papers authored by Song‐Lin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Lin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song‐Lin Ding. 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 Song‐Lin Ding. The network helps show where Song‐Lin Ding may publish in the future.

Co-authorship network of co-authors of Song‐Lin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Lin Ding. A scholar is included among the top collaborators of Song‐Lin Ding 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 Song‐Lin Ding. Song‐Lin Ding 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 6
3 3
4 5
5 1
6 3
7 10
8 45
9 167
10 14
11 149
12 55
13 28
14 17
15 15
16 8
17 14
18 8
19 5
20
MORPHOLOGY OF THE LARVAE OF PHLEBOTOMUS MAJOR WUI YANG & HSIUNG AND SERGENTOMYIA MINUTUS SINKIANGENSIS TING & HO
1

About Song‐Lin Ding

Song‐Lin Ding is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Memory and Neural Mechanisms (17 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (497 citations) and Psychiatry and Mental health (407 citations). Song‐Lin Ding has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Gary W. Van Hoesen, Long Xie, David A. Wolk, John Pluta, Paul A. Yushkevich, Sandhitsu R. Das, Hongzhi Wang, Lauren Mancuso, Eske Christiane Gertje and Kathleen S. Rockland. Their work appears in journals such as Journal of Neuroscience, NeuroImage and The Journal of Comparative Neurology.

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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