Ha-Jeong Kim

1.4k total citations
42 papers, 1.1k citations indexed

About

Ha-Jeong Kim is a scholar working on Immunology, Molecular Biology and Obstetrics and Gynecology. According to data from OpenAlex, Ha-Jeong Kim has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 10 papers in Molecular Biology and 7 papers in Obstetrics and Gynecology. Recurrent topics in Ha-Jeong Kim's work include Endometrial and Cervical Cancer Treatments (7 papers), Immune cells in cancer (6 papers) and Pickering emulsions and particle stabilization (4 papers). Ha-Jeong Kim is often cited by papers focused on Endometrial and Cervical Cancer Treatments (7 papers), Immune cells in cancer (6 papers) and Pickering emulsions and particle stabilization (4 papers). Ha-Jeong Kim collaborates with scholars based in South Korea, United States and China. Ha-Jeong Kim's co-authors include Xiaojing Ma, Chel Hun Choi, Duk‐Soo Bae, Byoung‐Gie Kim, Yoo-Young Lee, Tae‐Joong Kim, Dandan Lv, Jeong‐Won Lee, Taejong Song and Min Kyu Kim and has published in prestigious journals such as The Journal of Immunology, Advanced Energy Materials and Cancer Research.

In The Last Decade

Ha-Jeong Kim

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ha-Jeong Kim South Korea 19 397 380 322 184 182 42 1.1k
Piotr Dziunycz Switzerland 22 416 1.0× 578 1.5× 687 2.1× 248 1.3× 178 1.0× 42 1.7k
Behnam Sadeghi Sweden 21 286 0.7× 312 0.8× 598 1.9× 81 0.4× 96 0.5× 67 1.6k
Ying‐Cheng Chiang Taiwan 23 342 0.9× 552 1.5× 529 1.6× 591 3.2× 326 1.8× 85 1.8k
Grzegorz Dyduch Poland 19 130 0.3× 202 0.5× 240 0.7× 111 0.6× 281 1.5× 94 1.1k
Ke Li China 20 241 0.6× 370 1.0× 460 1.4× 67 0.4× 33 0.2× 78 1.3k
Dongyong Yang China 19 173 0.4× 111 0.3× 327 1.0× 147 0.8× 78 0.4× 61 941
Lu Xu China 18 148 0.4× 156 0.4× 577 1.8× 92 0.5× 75 0.4× 49 1.2k
Michael Bzorek Denmark 17 318 0.8× 159 0.4× 212 0.7× 101 0.5× 47 0.3× 54 867
Roza Motavalli Iran 15 477 1.2× 539 1.4× 374 1.2× 41 0.2× 80 0.4× 44 1.2k
Megan Sullivan United States 21 90 0.2× 260 0.7× 327 1.0× 65 0.4× 63 0.3× 53 1.2k

Countries citing papers authored by Ha-Jeong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ha-Jeong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ha-Jeong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ha-Jeong Kim. A scholar is included among the top collaborators of Ha-Jeong 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 Ha-Jeong Kim. Ha-Jeong 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.
Ahn, Hyungju, S.J. Chang, Nam‐Gyu Park, et al.. (2025). Toward a Rational Design of Conjugated Copolymers with Oxygenated Side Chains for Boosting Thermoelectric Properties. Advanced Energy Materials.
2.
Kim, Ha-Jeong, et al.. (2024). Stabilin-2 mediated apoptotic cell phagocytosis induces interleukin-10 expression by p38 and Pbx1 signaling. Cell Biochemistry and Biophysics. 82(2). 919–925. 2 indexed citations
3.
Heo, Jun Hyuk, Tran Quang Trung, Ha-Jeong Kim, et al.. (2023). Sensor design strategy for environmental and biological monitoring. EcoMat. 5(5). 36 indexed citations
4.
Lee, Seul Gi, Seon Min Woo, Seung Un Seo, et al.. (2023). TGFBI remodels adipose metabolism by regulating the Notch-1 signaling pathway. Experimental & Molecular Medicine. 55(3). 520–531. 16 indexed citations
5.
Kim, Ha-Jeong, et al.. (2023). High Internal Phase Emulsion Stabilization through Restricted Interdrop Fusion across Water Drainage Channels. Langmuir. 39(16). 5670–5678. 8 indexed citations
6.
Ghayda, Ramy Abou, Keum Hwa Lee, Jae‐Seok Kim, et al.. (2021). Chest CT abnormalities in COVID-19: a systematic review. International Journal of Medical Sciences. 18(15). 3395–3402. 7 indexed citations
7.
Jeong, Ji Yun, Man‐Hoon Han, Il‐Hyung Park, et al.. (2021). Periostin is a novel histological biomarker for the diagnosis of chondroid tumor. Translational Cancer Research. 10(1). 434–444. 4 indexed citations
8.
Kim, Ha-Jeong, Sun Ha Choi, Yong Hoon Lee, et al.. (2021). The role of CECR1 in the immune-modulatory effects of butyrate and correlation between ADA2 and M1/M2 chemokines in tuberculous pleural effusion. International Immunopharmacology. 96. 107635–107635. 1 indexed citations
9.
Kim, Ha-Jeong, Dongbin Ahn, Tae In Park, & Ji Yun Jeong. (2020). TGFBI Expression Predicts the Survival of Patients With Oropharyngeal Squamous Cell Carcinoma. In Vivo. 34(5). 3005–3012. 2 indexed citations
10.
Kim, Ha-Jeong, Sun Ha Choi, Hyewon Seo, et al.. (2020). Comparison of biochemical parameters and chemokine levels in pleural fluid between patients with anergic and non-anergic tuberculous pleural effusion. Tuberculosis. 123. 101940–101940. 3 indexed citations
11.
Kim, Ha-Jeong, et al.. (2017). Mycobacterium tuberculosisESAT6 and CPF10 Induce Adenosine Deaminase 2 mRNA Expression in Monocyte-Derived Macrophages. Tuberculosis & respiratory diseases. 80(1). 77–77. 11 indexed citations
12.
Kim, Byung‐Soo, Ha-Jeong Kim, Sang Mun Bae, et al.. (2015). Decursin from Angelica gigas Nakai Inhibits B16F10 Melanoma Growth Through Induction of Apoptosis. Journal of Medicinal Food. 18(10). 1121–1127. 34 indexed citations
13.
Choi, Chel Hun, Chang Ohk Sung, Ha-Jeong Kim, et al.. (2013). Overexpression of annexin A4 is associated with chemoresistance in papillary serous adenocarcinoma of the ovary. Human Pathology. 44(6). 1017–1023. 17 indexed citations
14.
Kim, Ha-Jeong, In‐Gu Do, Hye‐Kyung Jeon, et al.. (2012). Galectin 1 expression is associated with tumor invasion and metastasis in stage IB to IIA cervical cancer. Human Pathology. 44(1). 62–68. 58 indexed citations
15.
Lee, Yoo-Young, Chel Hun Choi, Chang Ohk Sung, et al.. (2012). Clinical significance of changes in peripheral lymphocyte count after surgery in early cervical cancer. Gynecologic Oncology. 127(1). 107–113. 22 indexed citations
16.
Lee, Yoo-Young, Chel Hun Choi, Ha-Jeong Kim, et al.. (2012). Pretreatment neutrophil:lymphocyte ratio as a prognostic factor in cervical carcinoma.. PubMed. 32(4). 1555–61. 124 indexed citations
17.
Song, Taejong, Jeong‐Won Lee, Ha-Jeong Kim, et al.. (2011). Prognostic significance of DNA ploidy in stage I endometrial cancer. Gynecologic Oncology. 122(1). 79–82. 15 indexed citations
18.
Lee, Yoo-Young, Chel Hun Choi, Chang Ohk Sung, et al.. (2011). Prognostic value of pre-treatment circulating monocyte count in patients with cervical cancer: Comparison with SCC-Ag level. Gynecologic Oncology. 124(1). 92–97. 77 indexed citations
19.
Zhang, Yan, et al.. (2010). Regulation of Interleukin-10 Gene Expression in Macrophages Engulfing Apoptotic Cells. Journal of Interferon & Cytokine Research. 30(3). 113–122. 33 indexed citations
20.
Kim, Ha-Jeong, et al.. (2010). Functional Outcomes and Characteristics of Patients with Brain Tumors after Inpatient Rehabilitation: Comparison with Ischemic Stroke. Annals of Rehabilitation Medicine. 34(3). 290–296. 5 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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