Heejin Kimm

4.5k citations
99 papers · 3.2k · h-index 28

Impact in

Papers in

Heejin Kimm

87 papers receiving 3.1k citations

Peers

Heejin Kimm
Comparison fields: 5 of 124
  • Nephrology 544
  • Cardiology and Cardiovascular Medicine 408
  • Endocrinology, Diabetes and Metabolism 297
  • Physiology 360
  • Pulmonary and Respiratory Medicine 320
Replace Fujiko Irie with:
Fujiko Irie Japan
Min Kuang Tsai Taiwan
Amy Luke United States
Guichan Cao United States
Peter Lin Canada
Anna Francis Australia
Adi Leiba Israel
Rasheeda Hall United States
Vera Hermina Kalika Koch Brazil
Ellen Karen Hoogeveen Netherlands
Heejin Kimm relative to Fujiko Irie Japan Fujiko Irie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heejin Kimm

Since Specialization
Citations

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

Fields of papers citing papers by Heejin Kimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013371
2 2018245
3 2015225
4 2014163
5 2009160
6 2015150
7 2012139
8 2010134
9 2017132
10 2015114
11 201082
12 201075
13 201867
14 200960
15 201260
16 201960
17 201158
18 201156
19 201048
20 201645

About Heejin Kimm

Heejin Kimm is a scholar working on Physiology, Nutrition and Dietetics, Rheumatology, General Health Professions and Nephrology, having authored 99 papers that have together received 3.2k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (13 papers), Nutrition, Health and Food Behavior (10 papers), Heme Oxygenase-1 and Carbon Monoxide (9 papers), Folate and B Vitamins Research (6 papers), Health and Wellbeing Research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Chronic Kidney Disease and Diabetes (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Nephrology (544 citations), Cardiology and Cardiovascular Medicine (408 citations), Endocrinology, Diabetes and Metabolism (297 citations), Physiology (360 citations) and Pulmonary and Respiratory Medicine (320 citations). Heejin Kimm has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sun Ha Jee, Ji Eun Yun, Jaeseong Jo, Yangsoo Jang, Keum Ji Jung, Sun Ju Lee, Sang‐Hak Lee, Sungkyu Lee, Jae Woong Sull and C Black. Their work appears in journals such as Epidemiology and Health, Circulation Journal, American Journal of Kidney Diseases, Nutrition Metabolism and Cardiovascular Diseases and Diabetes & Metabolism Journal.

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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