Sue Kim

901 total citations
20 papers, 706 citations indexed

About

Sue Kim is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Molecular Biology. According to data from OpenAlex, Sue Kim has authored 20 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Sue Kim's work include Reproductive Biology and Fertility (5 papers), Dietary Effects on Health (4 papers) and Diet and metabolism studies (4 papers). Sue Kim is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Dietary Effects on Health (4 papers) and Diet and metabolism studies (4 papers). Sue Kim collaborates with scholars based in South Korea, United States and Canada. Sue Kim's co-authors include Matthew P. DeLisa, Mingming Wu, Ji‐Won Lee, John W. Roberts, Donald L. Koch, Peng Zhou, Elizabeth A. Fogarty, Michael L. Shuler, Steven Heilman and Justin Y. Jeon and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Nutrients.

In The Last Decade

Sue Kim

20 papers receiving 687 citations

Peers

Sue Kim
Comparison fields: 5 of 113
  • Biomedical Engineering 243
  • Physiology 154
  • Public Health, Environmental and Occupational Health 149
  • Molecular Biology 138
  • Condensed Matter Physics 87
Replace Hao‐Chang Hung with:
Hao‐Chang Hung Taiwan
Eric G. Haarman Netherlands
Martina Kollmann Austria
Yuka Saito Japan
Michael Kirschbaum Germany
Weijing Zhang China
Laura Keller United States
Linlin Su China
Wungrak Choi South Korea
Naoki Aoyama Japan
Hao‐Chang Hung Taiwan View profile →
Citations per field, relative to Sue Kim
Sue Kim · 1×
Citations per year, relative to Sue Kim
Sue Kim · 1×

Countries citing papers authored by Sue Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sue Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sue Kim. A scholar is included among the top collaborators of Sue 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 Sue Kim. Sue 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
# Work Indexed citations
1 7
2 3
3 3
4 83
5 42
6 8
7 19
8
Distribution of Abdominal Obesity and Fitness Level in Overweight and Obese Korean Adults
1
9 7
10 14
11 11
12 56
13 39
14 32
15 108
16 12
17 27
18 193
19 23
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.

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