Diansan Su

2.1k citations
93 papers · 1.4k · h-index 23

Impact in

Papers in

Diansan Su

85 papers receiving 1.4k citations

Peers

Diansan Su
Comparison fields: 5 of 117
  • Developmental Neuroscience 271
  • Anesthesiology and Pain Medicine 346
  • Critical Care and Intensive Care Medicine 285
  • Neurology 140
  • Biological Psychiatry 32
Replace Takashi Kawano with:
Takashi Kawano Japan
Xiangrui Wang China
Shinichi Nakao Japan
Anshi Wu China
Irene Lecker Canada
Qin Liao China
Hartmut Buerkle Germany
Sumio Hoka Japan
Henning Hermanns Netherlands
Diansan Su relative to Takashi Kawano Japan Takashi Kawano's profile →
Citations per field
00.5×3.4×
Takashi Kawano · 1×
Citations per year

Countries citing papers authored by Diansan Su

Since Specialization
Citations

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

Fields of papers citing papers by Diansan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Diansan Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Diansan Su Line = papers co-authored together Diansan Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 202180
3 201978
4 201373
5 200751
6 201743
7 201139
8 201134
9 201133
10 202030
11 201530
12 201928
13 201028
14 201127
15 200826
16 201926
17 201725
18 201825
19 201924
20 202324

About Diansan Su

Diansan Su is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine, Surgery, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (24 papers), Anesthesia and Neurotoxicity Research (22 papers), Anesthesia and Sedative Agents (22 papers), Neuropeptides and Animal Physiology (11 papers), Airway Management and Intubation Techniques (9 papers), Cardiac Ischemia and Reperfusion (8 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Developmental Neuroscience (271 citations), Anesthesiology and Pain Medicine (346 citations), Critical Care and Intensive Care Medicine (285 citations), Neurology (140 citations) and Biological Psychiatry (32 citations). Diansan Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weifeng Yu, Jie Tian, Xiangrui Wang, Xiyao Gu, Weitian Tian, Zhiying Pan, Zhenhong Wang, Yizhe Zhang, Xuliang Jiang and Yanhua Zhao. Their work appears in journals such as Frontiers in Medicine, Trials, Anesthesia & Analgesia, Journal of Clinical Anesthesia and Anesthesiology.

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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