Hae-In Kim

569 total citations · 1 hit paper
22 papers, 422 citations indexed

About

Hae-In Kim is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Molecular Biology. According to data from OpenAlex, Hae-In Kim has authored 22 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Hae-In Kim's work include Pregnancy and preeclampsia studies (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Advanced Polymer Synthesis and Characterization (2 papers). Hae-In Kim is often cited by papers focused on Pregnancy and preeclampsia studies (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Advanced Polymer Synthesis and Characterization (2 papers). Hae-In Kim collaborates with scholars based in South Korea, Ethiopia and Puerto Rico. Hae-In Kim's co-authors include Hyesol Lim, Aree Moon, Sang-Dol Kim, Jun Soo Kim, Ki Hoon Ahn, Kwang‐Sig Lee, Bong June Sung, Hyun Cho, Eun Sun Kim and In‐Seok Song and has published in prestigious journals such as Nanoscale, Biochemical Pharmacology and Cardiovascular Research.

In The Last Decade

Hae-In Kim

17 papers receiving 410 citations

Hit Papers

Sex Differences in Cancer: Epidemiology, Genetics and The... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hae-In Kim South Korea 9 111 69 61 61 46 22 422
Mariana Silva Canada 14 60 0.5× 53 0.8× 63 1.0× 39 0.6× 51 1.1× 32 432
Witold Owczarek Poland 15 154 1.4× 77 1.1× 27 0.4× 41 0.7× 80 1.7× 92 800
Meaghan Krohe United States 9 109 1.0× 47 0.7× 40 0.7× 37 0.6× 20 0.4× 19 336
Naoko Sasamoto United States 12 163 1.5× 117 1.7× 51 0.8× 128 2.1× 54 1.2× 56 725
Thanh Ha Luu United States 13 113 1.0× 30 0.4× 47 0.8× 46 0.8× 45 1.0× 19 519
Mads Kirchheiner Rasmussen Denmark 17 91 0.8× 110 1.6× 120 2.0× 38 0.6× 35 0.8× 41 901
Gabriel Tremblay United States 12 107 1.0× 84 1.2× 24 0.4× 48 0.8× 27 0.6× 84 425
Sangita M. Baxi United States 13 134 1.2× 107 1.6× 16 0.3× 67 1.1× 43 0.9× 30 633
Mónica Tang Australia 14 164 1.5× 157 2.3× 147 2.4× 61 1.0× 69 1.5× 52 682
Ibtissam Youlyouz‐Marfak Morocco 14 155 1.4× 136 2.0× 27 0.4× 68 1.1× 61 1.3× 38 695

Countries citing papers authored by Hae-In Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hae-In Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hae-In Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hae-In Kim. A scholar is included among the top collaborators of Hae-In 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 Hae-In Kim. Hae-In 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
1.
Kim, Hae-In, Ju-Yeon Yoon, & Ho-Jong Ju. (2025). Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models. The Plant Pathology Journal. 41(1). 100–111.
2.
Kim, Hae-In, Eunjung Jang, Young Woo Eom, et al.. (2025). Dual role of p21 in regulating apoptosis and mitotic integrity in response to doxorubicin in colon cancer cells. Cell Death Discovery. 11(1). 133–133.
3.
Kim, Hae-In, Heejin Jun, Joo‐Young Kim, et al.. (2025). Targeting RBM39 with Tasisulam enhances TRAIL-induced apoptosis through DR5 upregulation and Bcl-2 downregulation in renal cell carcinoma. Biochemical Pharmacology. 236. 116877–116877.
5.
Lee, Kwang‐Sig, Hae-In Kim, & Byung‐Joo Ham. (2023). Relationships of Antidepressant Medication With Its Various Factors Including Nitrogen Dioxides Seasonality: Machine Learning Analysis Using National Health Insurance Data. Psychiatry Investigation. 20(6). 515–523. 1 indexed citations
6.
Lee, Kwang‐Sig, In‐Seok Song, Eun Sun Kim, Hae-In Kim, & Ki Hoon Ahn. (2022). Association of preterm birth with medications: machine learning analysis using national health insurance data. Archives of Gynecology and Obstetrics. 305(5). 1369–1376. 12 indexed citations
7.
Lee, Kwang‐Sig, Eun Sun Kim, In‐Seok Song, Hae-In Kim, & Ki Hoon Ahn. (2022). Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data. International Journal of Environmental Research and Public Health. 19(5). 3056–3056. 6 indexed citations
8.
Ahn, Ki Hoon, Hae-In Kim, Kwang‐Sig Lee, et al.. (2022). COVID-19 and vaccination during pregnancy: a systematic analysis using Korea National Health Insurance claims data. Obstetrics & Gynecology Science. 65(6). 487–501. 9 indexed citations
9.
Kim, Hae-In, et al.. (2022). An analysis study of sarcopenia and locomotive syndrome in the old people using evaluation tool. Journal of Exercise Rehabilitation. 18(4). 256–263. 5 indexed citations
10.
Lee, Kwang‐Sig, Hae-In Kim, Jae Seung Jung, et al.. (2022). Blood Transfusion, All-Cause Mortality and Hospitalization Period in COVID-19 Patients: Machine Learning Analysis of National Health Insurance Claims Data. Diagnostics. 12(12). 2970–2970. 6 indexed citations
11.
Kim, Myung‐Chul, June Huh, & Hae-In Kim. (2021). Muscle Elasticity Changes in the Presence or Absence of Elastic Band Resistance During Bridge Exercise Using Gymball. Journal of The Korean Society of Integrative Medicine. 9(3). 145–153. 1 indexed citations
12.
Cho, Sohee, Eun Hee Lee, Hae-In Kim, et al.. (2021). Validation of BMI genetic risk score and DNA methylation in a Korean population. International Journal of Legal Medicine. 135(4). 1201–1212. 8 indexed citations
13.
Lee, Kwang‐Sig, Hae-In Kim, Ho Yeon Kim, et al.. (2021). Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data. Diagnostics. 11(3). 555–555. 12 indexed citations
14.
Kim, Hae-In, et al.. (2021). Comparison of Interleaving Methods of Parallel Connected Three-Level Bi-Directional Converters. Energies. 15(1). 6–6. 3 indexed citations
15.
Cho, Hyun, Hae-In Kim, Bong June Sung, & Jun Soo Kim. (2020). Tracer Diffusion in Tightly-Meshed Homogeneous Polymer Networks: A Brownian Dynamics Simulation Study. Polymers. 12(9). 2067–2067. 24 indexed citations
16.
17.
Park, Ji‐eun, et al.. (2019). Vesicle-like assemblies of ligand-stabilized nanoparticles with controllable membrane composition and properties. Nanoscale. 11(4). 1837–1846. 14 indexed citations
18.
Kim, Hae-In, Hyesol Lim, & Aree Moon. (2018). Sex Differences in Cancer: Epidemiology, Genetics and Therapy. Biomolecules & Therapeutics. 26(4). 335–342. 230 indexed citations breakdown →
19.
Kim, Sang-Dol & Hae-In Kim. (2006). A series of bed exercises to improve lymphocyte count in allogeneic bone marrow transplantation patients. European Journal of Cancer Care. 15(5). 453–457. 45 indexed citations
20.
O’Neill, Padraig Gearoid, Maxwell Charlat, Hae-In Kim, et al.. (1987). Lipoxygenase inhibitor nafazatrom fails to attenuate postischaemic ventricular dysfunction. Cardiovascular Research. 21(10). 755–760. 19 indexed citations

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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