Jin-Ah Sim

1.3k citations
61 papers · 881 · h-index 19

Impact in

Papers in

Jin-Ah Sim

58 papers receiving 868 citations

Peers

Jin-Ah Sim
Comparison fields: 5 of 105
  • Health Informatics 33
  • Public Health, Environmental and Occupational Health 187
  • Oncology 146
  • General Health Professions 106
  • Applied Psychology 21
Replace Lewis William Paton with:
Lewis William Paton United Kingdom
Andrea Catherine Enzinger United States
Aubri S. Hoffman United States
Philippa Hanson United Kingdom
Caroline K. Tietbohl United States
Julia Menichetti Italy
Jason A. Freed United States
Tzeyu L. Michaud United States
Daniel Marchalik United States
Kathryn Jackson United States
Jin-Ah Sim relative to Lewis William Paton United Kingdom Lewis William Paton's profile →
Citations per field
00.5×2×4×6.7×
Lewis William Paton · 1×
Citations per year

Countries citing papers authored by Jin-Ah Sim

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Ah Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Ah Sim. 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 Jin-Ah Sim. The network helps show where Jin-Ah Sim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202353
2 202050
3 201849
4 201940
5 201739
6 202038
7 201736
8 201635
9 202134
10 201431
11 201828
12 201628
13 201827
14 202127
15 201526
16 201526
17 201925
18 202125
19 201923
20 201919

About Jin-Ah Sim

Jin-Ah Sim is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Oncology, General Health Professions and Health Informatics, having authored 61 papers that have together received 881 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (14 papers), Childhood Cancer Survivors' Quality of Life (10 papers), Cancer survivorship and care (7 papers), Family Support in Illness (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Epigenetics and DNA Methylation (2 papers), Patient Dignity and Privacy (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Health Informatics (33 citations), Public Health, Environmental and Occupational Health (187 citations), Oncology (146 citations), General Health Professions (106 citations) and Applied Psychology (21 citations). Jin-Ah Sim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Young Ho Yun, Young Ae Kim, I‐Chan Huang, Justin Nathaniel Baker, EunKyo Kang, Je‐Yeon Yun, Les Robison, Melissa M. Hudson, Young Mog Shim and Moon Soo Kim. Their work appears in journals such as Psycho-Oncology, BMJ Open, JAMA Network Open, BMC Cancer and Journal of Medical Internet 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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