Hye In Kim

2.1k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Hye In Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Hye In Kim has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Surgery and 11 papers in Epidemiology. Recurrent topics in Hye In Kim's work include Thyroid Cancer Diagnosis and Treatment (29 papers), Thyroid and Parathyroid Surgery (14 papers) and Thyroid Disorders and Treatments (10 papers). Hye In Kim is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (29 papers), Thyroid and Parathyroid Surgery (14 papers) and Thyroid Disorders and Treatments (10 papers). Hye In Kim collaborates with scholars based in South Korea, United States and Austria. Hye In Kim's co-authors include Young Nam Kim, Tae Hyuk Kim, Jae Hoon Chung, Sun Wook Kim, Ji Won Kim, Jin Hae Kim, Kihyun Kım, Hye Ryoun Jang, Jun Young Kim and Ghee Young Kwon and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Hye In Kim

42 papers receiving 1.5k citations

Hit Papers

Progression of Monoclonal Gammopathy with Undetermined Si... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hye In Kim South Korea 19 765 488 407 297 297 44 1.5k
Jordi Mesa Spain 19 669 0.9× 267 0.5× 231 0.6× 85 0.3× 107 0.4× 86 1.4k
Ki‐Hyun Baek South Korea 22 461 0.6× 374 0.8× 554 1.4× 294 1.0× 39 0.1× 116 1.6k
Radjesh J. Bisoendial Netherlands 17 361 0.5× 599 1.2× 293 0.7× 249 0.8× 78 0.3× 35 1.5k
Yoshifumi Kadono Japan 24 186 0.2× 328 0.7× 343 0.8× 514 1.7× 57 0.2× 158 1.8k
Katharina Modelska United States 19 350 0.5× 102 0.2× 402 1.0× 268 0.9× 101 0.3× 43 2.0k
Simone De Leo Italy 17 911 1.2× 196 0.4× 270 0.7× 169 0.6× 36 0.1× 39 1.3k
Daniel I. Swerdlow United Kingdom 13 293 0.4× 581 1.2× 378 0.9× 129 0.4× 57 0.2× 20 1.7k
José Miguel Domínguez Chile 16 869 1.1× 498 1.0× 337 0.8× 416 1.4× 19 0.1× 68 1.6k
Alfredo Leaños‐Miranda Mexico 23 280 0.4× 129 0.3× 284 0.7× 64 0.2× 127 0.4× 67 1.4k
P. M. Jehle Germany 16 358 0.5× 155 0.3× 326 0.8× 194 0.7× 36 0.1× 42 1.0k

Countries citing papers authored by Hye In Kim

Since Specialization
Citations

This map shows the geographic impact of Hye 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 Hye 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 Hye In Kim more than expected).

Fields of papers citing papers by Hye In Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Hye In Kim. A scholar is included among the top collaborators of Hye 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 Hye In Kim. Hye 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, Jae J., et al.. (2025). Persistently Active Helicobacter pylori Infection Is Associated with the Development of Metabolic Dysfunction-Associated Steatotic Liver Disease. Journal of Clinical Medicine. 14(4). 1073–1073. 2 indexed citations
3.
Kim, Hye In, Jae J. Kim, Jung Hwan Cho, et al.. (2024). Triiodothyronine Is Associated with Incidence/Resolution of Steatotic Liver Disease: Longitudinal Study in Euthyroid Korean. Endocrinology and Metabolism. 40(1). 135–145.
4.
Son, Minkook, Jung Hwan Cho, Hye In Kim, et al.. (2024). Association Between Metabolic Dysfunction-Associated Steatotic Liver Disease and Thyroid Cancer. Thyroid. 35(1). 79–86. 2 indexed citations
5.
Jin, Meihua, Hye In Kim, Jeonghoon Ha, et al.. (2021). Tumor Volume Doubling Time in Active Surveillance of Papillary Thyroid Microcarcinoma: A Multicenter Cohort Study in Korea. Thyroid. 31(10). 1494–1501. 20 indexed citations
6.
Adam, Rene C., Poulabi Banerjee, Sara Hamon, et al.. (2020). Angiopoietin-like protein 3 governs LDL-cholesterol levels through endothelial lipase-dependent VLDL clearance. Journal of Lipid Research. 61(9). 1271–1286. 124 indexed citations
7.
Kim, Hosu, So Young Park, Jaehoon Jung, et al.. (2019). Improved survival after early detection of asymptomatic distant metastasis in patients with thyroid cancer. Scientific Reports. 9(1). 18745–18745. 17 indexed citations
8.
Oh, Hye‐Seon, Jeonghoon Ha, Hye In Kim, et al.. (2018). Active Surveillance of Low-Risk Papillary Thyroid Microcarcinoma: A Multi-Center Cohort Study in Korea. Thyroid. 28(12). 1587–1594. 136 indexed citations
9.
Kim, Mijin, Hee Kyung Kim, Hye In Kim, et al.. (2018). Modification of the eight-edition tumor-node-metastasis staging system with N1b for papillary thyroid carcinoma: A multi-institutional cohort study. Oral Oncology. 86. 48–52. 8 indexed citations
10.
Kim, Hosu, Hye In Kim, Sun Wook Kim, et al.. (2018). Prognosis of Differentiated Thyroid Carcinoma with Initial Distant Metastasis: A Multicenter Study in Korea. Endocrinology and Metabolism. 33(2). 287–287. 29 indexed citations
12.
Han, Ji Min, Ji Cheol Bae, Hye In Kim, et al.. (2018). Clinical Outcomes of Differentiated Thyroid Cancer Patients with Local Recurrence or Distant Metastasis Detected in Old Age. Endocrinology and Metabolism. 33(4). 459–459. 5 indexed citations
13.
Kim, Hye In, So Young Park, Hye Won Jang, et al.. (2018). Non-immune-related hypothyroidism and its relationship with excess iodine. European Journal of Nutrition. 58(7). 2851–2858. 6 indexed citations
15.
Kim, Hosu, Tae Hyuk Kim, Jun‐Ho Choe, et al.. (2017). Patterns of Initial Recurrence in Completely Resected Papillary Thyroid Carcinoma. Thyroid. 27(7). 908–914. 55 indexed citations
16.
Kim, Hosu, Tae Hyuk Kim, Hye In Kim, et al.. (2017). Subclinical thyroid dysfunction and risk of carotid atherosclerosis. PLoS ONE. 12(7). e0182090–e0182090. 18 indexed citations
17.
Sohn, Seo Young, Young Nam Kim, Hye In Kim, et al.. (2017). Validation of dynamic risk stratification in pediatric differentiated thyroid cancer. Endocrine. 58(1). 167–175. 18 indexed citations
18.
Kim, Tae Hyuk, Young Nam Kim, Hye In Kim, et al.. (2017). Prognostic value of the eighth edition AJCC TNM classification for differentiated thyroid carcinoma. Oral Oncology. 71. 81–86. 81 indexed citations
19.
Kim, Hye In, Hye Won Jang, Hyeon Seon Ahn, et al.. (2017). High Serum TSH Level Is Associated With Progression of Papillary Thyroid Microcarcinoma During Active Surveillance. The Journal of Clinical Endocrinology & Metabolism. 103(2). 446–451. 87 indexed citations
20.
Kim, Hye In, Ji Won Kim, Jun Young Kim, et al.. (2015). Isolated EndobronchialMycobacterium aviumDisease Associated with Lobar Atelectasis in an Immunocompetent Young Adult: A Case Report and Literature Review. Tuberculosis & respiratory diseases. 78(4). 412–412. 4 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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