Jennifer Kim

2.5k citations
30 papers · 1.9k indexed · 2 hit papers · h-index 10

Jennifer Kim

27 papers receiving 1.8k citations

Hit Papers

Approximately One In Three US Adults Com...38620072026201320192505007501000

Peers

Jennifer Kim
Comparison fields: 5 of 121
  • Geriatrics and Gerontology 867
  • Aging 43
  • Radiological and Ultrasound Technology 118
  • Critical Care and Intensive Care Medicine 118
  • Physiology 100
Replace Sara Espinoza with:
Sara Espinoza United States
Andrew Cave Canada
Jeannie K. Lee United States
Egidio Del Fabbro United States
Hokyou Lee South Korea
François Puisieux France
Lucia Galluzzo Italy
Thomas O. Obisesan United States
Hong Yup Ahn South Korea
Gijsbertus Ziere Netherlands
Jennifer Kim relative to Sara Espinoza United States Sara Espinoza's profile →
Citations per field
00.5×10×16.7×
Sara Espinoza · 1×
Citations per year

Countries citing papers authored by Jennifer Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20231
5 202210
6 20224
7 20228
8 202212
9 20215
10 20202
11 20203
12 201927
13 201827
14 20187
15 20189
16
Approximately One In Three US Adults Completes Any Type Of Advance Directive For End-Of-Life Carebreakdown →
2017386
17 201653
18
Mammalian Sir2 Homolog SIRT3 Regulates Global Mitochondrial Lysine Acetylationbreakdown →
20071011
19 2005112
20 20032

About Jennifer Kim

Jennifer Kim is a scholar working on Geriatrics and Gerontology, Research and Theory and Neuropsychology and Physiological Psychology, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (7 papers), Geriatric Care and Nursing Homes (5 papers), Surgical Simulation and Training (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Aging and Gerontology Research (3 papers), Dementia and Cognitive Impairment Research (2 papers), Medication Adherence and Compliance (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Geriatrics and Gerontology (867 citations), Aging (43 citations) and Radiological and Ultrasound Technology (118 citations). Jennifer Kim has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Abby Luck Parish, Raúl Mostoslavsky, Bjoern Schwer, Yinhua Yang, Jakob Bunkenborg, Leonard Guarente, David M. Valenzuela, Yaohui Chen, Robert V. Farese and Roderick T. Bronson. Their work appears in journals such as Circulation, Molecular and Cellular Biology and Journal of the American Geriatrics Society.

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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