Steve Su

1.2k total citations
28 papers, 864 citations indexed

About

Steve Su is a scholar working on Rheumatology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Steve Su has authored 28 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 8 papers in Statistics and Probability and 7 papers in Artificial Intelligence. Recurrent topics in Steve Su's work include Osteoarthritis Treatment and Mechanisms (8 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Distribution Estimation and Applications (5 papers). Steve Su is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (8 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Distribution Estimation and Applications (5 papers). Steve Su collaborates with scholars based in Australia, China and United States. Steve Su's co-authors include Emma Heeley, John Chalmers, Craig S. Anderson, L. Tai, Mark Parsons, Hisatomi Arima, Jian Jiang, En Xu, Lewis B. Morgenstern and Marlene Fransen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Steve Su

25 papers receiving 820 citations

Peers

Steve Su
Comparison fields: 5 of 115
  • Neurology 278
  • Epidemiology 223
  • Rheumatology 209
  • Pharmacology 127
  • Cardiology and Cardiovascular Medicine 110
Replace A. John Petkau with:
A. John Petkau Canada
Walter M. van den Bergh Netherlands
James Boyle United Kingdom
Michael Sampson United Kingdom
Martin Carlsson United States
Marco D. Sorani United States
Po‐Yu Huang Taiwan
Wanjie Sun United States
Jung‐Ryul Kim South Korea
A. John Petkau Canada View profile →
Citations per field, relative to Steve Su
Steve Su · 1×
Citations per year, relative to Steve Su
Steve Su · 1×

Countries citing papers authored by Steve Su

Since Specialization
Citations

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

Fields of papers citing papers by Steve Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Su

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Su. A scholar is included among the top collaborators of Steve 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 Steve Su. Steve 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 3
2
Fitting Single and Mixture of Generalized Lambda Distributions to Data via Discretized and Maximum Likelihood Methods: GLDEX in R
4
3 139
4 2
5 33
6 1
7 15
8 0
9 0
10 21
11 168
12 131
13 8
14 80
15 102
16 4
17 23
18 48
19 13
20 13

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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