Sue Kim

174 papers receiving 3.1k citations

Peers

Sue Kim
Comparison fields: 5 of 163
  • Research and Theory 38
  • Issues, ethics and legal aspects 38
  • Leadership and Management 38
  • Public Health, Environmental and Occupational Health 770
  • Reproductive Medicine 217
Replace Gwenyth R. Wallen with:
Gwenyth R. Wallen United States
Kim Sears Canada
Tina Lavender United Kingdom
Barbara Hazard Munro United States
Abdel‐Hady El‐Gilany Egypt
Kristi J. Ferguson United States
Karyn Holm United States
Karolina Lisy Australia
Ian Jones United Kingdom
Eloise Carr United Kingdom
Sue Kim relative to Gwenyth R. Wallen United States Gwenyth R. Wallen's profile →
Citations per field
00.5×10×20×31×
Gwenyth R. Wallen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sue Kim, 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 Sue Kim Line = papers co-authored together Sue Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009201
2 2020125
3 2003118
4 200498
5 200890
6 201090
7 200382
8 200281
9 200679
10 201977
11 200267
12 200461
13 201656
14 201756
15 199854
16 200953
17 200349
18 200649
19 200549
20 200747

About Sue Kim

Sue Kim is a scholar working on Public Health, Environmental and Occupational Health, Oncology, General Health Professions, Genetics and Clinical Psychology, having authored 186 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer survivorship and care (21 papers), Reproductive Biology and Fertility (13 papers), BRCA gene mutations in cancer (12 papers), Health and Wellbeing Research (12 papers), Menstrual Health and Disorders (7 papers), Animal Genetics and Reproduction (7 papers), Pluripotent Stem Cells Research (7 papers) and Healthcare Education and Workforce Issues (7 papers). The work is most often cited by research in Research and Theory (38 citations), Issues, ethics and legal aspects (38 citations), Leadership and Management (38 citations), Public Health, Environmental and Occupational Health (770 citations) and Reproductive Medicine (217 citations). Sue Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jacquelyn H. Flaskerud, Deborah Koniak‐Griffin, Woo Suk Hwang, Beth E. Cohen, Charles R. Marmar, Karen H. Seal, Daniel Bertenthal, Min Kyeong Jang, Inese Verzemnieks and Janna Lesser. Their work appears in journals such as International Journal of Nursing Studies, Theriogenology, Supportive Care in Cancer, Cancer Nursing and Asian Nursing Research.

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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