Dong‐Yun Kim

1.9k citations
36 papers · 378 indexed · h-index 11
Topics
Heart Failure Treatment and Management (5 papers)Statistical Methods in Clinical Trials (5 papers)Statistical Methods and Inference (5 papers)

In The Last Decade

Dong‐Yun Kim

30 papers receiving 369 citations

Peers

Dong‐Yun Kim
Comparison fields: 5 of 110
  • Global and Planetary Change 49
  • Water Science and Technology 44
  • Cardiology and Cardiovascular Medicine 43
  • Ecology 43
  • Nature and Landscape Conservation 40
Replace Julia Nilsson with:
Julia Nilsson Sweden
Shulin Zhang China
Sen Yang China
Meilian Wang China
André Schützenmeister Germany
Dimitrios Stasinopoulos United Kingdom
Hanyi Chen China
Babak Mirbagheri Iran
Lina Schelin Sweden
Eric S. Money United States
Dong‐Yun Kim relative to Julia Nilsson Sweden Julia Nilsson's profile →
Citations per field
00.5×7.3×
Julia Nilsson · 1×
Citations per year

Countries citing papers authored by Dong‐Yun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Yun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Yun Kim. 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 Dong‐Yun Kim. The network helps show where Dong‐Yun Kim may publish in the future.

Co-authorship network of co-authors of Dong‐Yun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Yun Kim. A scholar is included among the top collaborators of Dong‐Yun Kim 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 Dong‐Yun Kim. Dong‐Yun Kim 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 1
3 1
4 1
5 10
6 0
7 3
8 2
9 32
10 8
11 44
12 52
13 8
14 10
15 12
16 25
17 1
18
A Study on the Retailer`s Global Expansion Strategy and Supply Chain Management : Focus on the Metro Group
1
19 1
20 5

About Dong‐Yun Kim

Dong‐Yun Kim is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Ecological Modeling, having authored 36 papers that have together received 378 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (5 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Nature and Landscape Conservation (40 citations), Pollution (37 citations) and Water Science and Technology (44 citations). Dong‐Yun Kim has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include Eric P. Smith, Yuehua Cui, Jun Zhu, Junseok Chae, Ang Chen, Han Li, Ning Wu, Matthew R. Williams, Xinwei Deng and Jianming Liang. Their work appears in journals such as Circulation, Blood and Bioinformatics.

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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