Na Eun Kim

583 total citations
41 papers, 347 citations indexed

About

Na Eun Kim is a scholar working on Surgery, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Na Eun Kim has authored 41 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Plant Science and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Na Eun Kim's work include Bone Tissue Engineering Materials (4 papers), Greenhouse Technology and Climate Control (3 papers) and Berry genetics and cultivation research (3 papers). Na Eun Kim is often cited by papers focused on Bone Tissue Engineering Materials (4 papers), Greenhouse Technology and Climate Control (3 papers) and Berry genetics and cultivation research (3 papers). Na Eun Kim collaborates with scholars based in South Korea, United States and Indonesia. Na Eun Kim's co-authors include Hyeon Tae Kim, Jayanta Kumar Basak, Jason F. Hall, Joo Hee Choi, Jeong Eun Song, Anil Bhujel, Gilson Khang, Byeong Eun Moon, Fawad Khan and Gentian Kristo and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Surgery and International Journal of Biological Macromolecules.

In The Last Decade

Na Eun Kim

38 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Eun Kim South Korea 12 113 62 38 34 34 41 347
Christof Godts Belgium 9 157 1.4× 36 0.6× 27 0.7× 65 1.9× 24 0.7× 15 751
Mi‐Ae Jeong South Korea 13 58 0.5× 51 0.8× 103 2.7× 22 0.6× 15 0.4× 72 553
Yung-Kai Lin Taiwan 11 48 0.4× 43 0.7× 57 1.5× 17 0.5× 67 2.0× 42 416
Ashish Singla India 11 54 0.5× 43 0.7× 44 1.2× 61 1.8× 8 0.2× 48 524
Liangwen Chen China 10 44 0.4× 25 0.4× 75 2.0× 16 0.5× 20 0.6× 45 501
G Field Canada 7 55 0.5× 53 0.9× 55 1.4× 4 0.1× 117 3.4× 12 527
A Martino Italy 16 104 0.9× 227 3.7× 58 1.5× 33 1.0× 10 0.3× 41 653
José Carlos Silva Camargo Filho Brazil 11 43 0.4× 36 0.6× 50 1.3× 3 0.1× 26 0.8× 72 432
Aziz Ullah Pakistan 12 206 1.8× 19 0.3× 32 0.8× 13 0.4× 5 0.1× 53 477
MA Mannan Bangladesh 13 205 1.8× 23 0.4× 8 0.2× 104 3.1× 4 0.1× 101 600

Countries citing papers authored by Na Eun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Na Eun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Eun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Na Eun Kim. A scholar is included among the top collaborators of Na Eun 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 Na Eun Kim. Na Eun 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.
Ruhle, Brian, Na Eun Kim, Dipti P. Sajed, et al.. (2025). Genetic Testing Referral Rates for Pheochromocytoma and Paraganglioma in an Academic Tertiary Centre. Clinical Endocrinology. 103(2). 147–156.
2.
Kim, Na Eun, et al.. (2024). Limited English Proficiency and Graves’ Disease at an Urban Safety Net Hospital. Journal of Surgical Research. 296. 56–65. 1 indexed citations
3.
Choi, Joo Hee, et al.. (2023). Modified gellan gum-based hydrogel with enhanced mechanical properties for application as a cell carrier for cornea endothelial cells. International Journal of Biological Macromolecules. 236. 123878–123878. 21 indexed citations
4.
Kim, Na Eun, Chi‐Hong Tseng, Shanpeng Li, et al.. (2023). Bethesda III and IV Thyroid Nodules Managed Nonoperatively After Molecular Testing With Afirma GSC or Thyroseq v3. The Journal of Clinical Endocrinology & Metabolism. 108(9). e698–e703. 17 indexed citations
5.
Kim, Na Eun, et al.. (2023). Comparative study of strawberry growth and fruit quality parameters in horizontal and vertical production systems. Horticulture Environment and Biotechnology. 64(3). 409–419. 9 indexed citations
6.
7.
Kim, Na Eun, Jihei Sara Lee, Kwanghyun Lee, et al.. (2023). Effect of Intraoperative Mitomycin C on the Surgical Outcomes of Ahmed Glaucoma Valve Implantation with Ciliary Sulcus Tube Placement. Korean Journal of Ophthalmology. 37(3). 216–223. 3 indexed citations
8.
Basak, Jayanta Kumar, et al.. (2022). Prediction of Total Soluble Solids and pH of Strawberry Fruits Using RGB, HSV and HSL Colour Spaces and Machine Learning Models. Foods. 11(14). 2086–2086. 46 indexed citations
9.
Basak, Jayanta Kumar, et al.. (2022). Non-Destructive Estimation of Fruit Weight of Strawberry Using Machine Learning Models. Agronomy. 12(10). 2487–2487. 19 indexed citations
10.
Bhujel, Anil, et al.. (2022). Measurement of Overlapping Leaf Area of Ice Plants Using Digital Image Processing Technique. Agriculture. 12(9). 1321–1321. 13 indexed citations
11.
Basak, Jayanta Kumar, et al.. (2022). Prediction of Strawberry Leaf Color Using RGB Mean Values Based on Soil Physicochemical Parameters Using Machine Learning Models. Agronomy. 12(5). 981–981. 18 indexed citations
12.
Khan, Fawad, et al.. (2021). Influence of different growing media on the growth and development of strawberry plants. Heliyon. 7(6). e07170–e07170. 20 indexed citations
13.
Doe, Matthew, et al.. (2021). Economic impact of surgery on households and individuals in low income countries: A systematic review. International Journal of Surgery. 90. 105956–105956. 11 indexed citations
14.
Kim, Na Eun & Jason F. Hall. (2020). Risk Factors for Readmission after Ileostomy Creation: an NSQIP Database Study. Journal of Gastrointestinal Surgery. 25(4). 1010–1018. 19 indexed citations
15.
Stolarski, Allan E., Na Eun Kim, Patrick O’Neal, et al.. (2019). Implementation of an Intraoperative Instructional Timeout Just Prior to Stapler Use Improves Proficiency of Surgical Stapler Usage by Surgery Residents. Journal of surgical education. 76(6). 1622–1628. 6 indexed citations
16.
Yang, Chun Woo, et al.. (2019). Acute cervical myelopathy with quadriparesis after cervical transforaminal epidural steroid injection. Medicine. 98(50). e18299–e18299. 5 indexed citations
17.
Kim, Na Eun, Maureen Kavanah, Jane Mendez, et al.. (2019). Standardized Risk Assessment and Risk-Stratified Venous Thromboembolism Prophylaxis for Patients Undergoing Breast Operation. Journal of the American College of Surgeons. 230(6). 947–955. 13 indexed citations
18.
Yang, Sung Jae, et al.. (2018). Nutritional evaluation of total mixed rations containing rice grain in an in vitro rumen fermentation system. Korean Journal of Agricultural Science. 45(4). 741–748. 4 indexed citations
19.
Kim, Hong-bumm, et al.. (2011). A Comparative Study on the Selective Attributes of Resort: Focused on the Mountain·Seaside Resort and the Tourist Type. Journal of Tourism and Leisure Research. 23(3). 261–279. 1 indexed citations
20.
Kim, Na Eun, et al.. (2010). The Effects of Word-of-Mouth Information Quality on Word-of-Mouth Effects in Online Tourism Context. Korean Journal of Hospitality and Tourism(KJHT). 19(4). 59–79. 2 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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