Won Kon Han

6.2k total citations · 1 hit paper
34 papers, 4.3k citations indexed

About

Won Kon Han is a scholar working on Surgery, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Won Kon Han has authored 34 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 12 papers in Nephrology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Won Kon Han's work include Acute Kidney Injury Research (10 papers), Chronic Kidney Disease and Diabetes (7 papers) and Gastric Cancer Management and Outcomes (5 papers). Won Kon Han is often cited by papers focused on Acute Kidney Injury Research (10 papers), Chronic Kidney Disease and Diabetes (7 papers) and Gastric Cancer Management and Outcomes (5 papers). Won Kon Han collaborates with scholars based in United States, South Korea and China. Won Kon Han's co-authors include Joseph V. Bonventre, Véronique Bailly, Rekha Abichandani, Ravi Thadhani, Chang Hak Yoo, Shuang Wang, Gebhard Wagener, H. Thomas Lee, Yanqing Zhu and Mary C. Perianayagam and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Clinical Cancer Research.

In The Last Decade

Won Kon Han

31 papers receiving 4.2k citations

Hit Papers

Kidney Injury Molecule-1 (KIM-1): A novel biomarker for h... 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won Kon Han United States 24 2.3k 969 798 755 512 34 4.3k
Venkata Sabbisetti United States 33 2.1k 0.9× 600 0.6× 673 0.8× 1.0k 1.4× 212 0.4× 71 4.3k
Richard A. Zager United States 42 1.7k 0.8× 1.1k 1.1× 496 0.6× 1.6k 2.1× 283 0.6× 110 4.7k
Giuseppe Coppolino Italy 29 1.8k 0.8× 492 0.5× 522 0.7× 598 0.8× 322 0.6× 142 3.5k
Zhaohui Ni China 43 2.9k 1.3× 789 0.8× 821 1.0× 2.3k 3.1× 256 0.5× 259 6.6k
Didier Portilla United States 34 1.6k 0.7× 489 0.5× 318 0.4× 1.7k 2.3× 269 0.5× 68 4.0k
Andrew Lewington United Kingdom 26 1.7k 0.7× 633 0.7× 311 0.4× 472 0.6× 402 0.8× 72 2.9k
Monica De Metrio Italy 26 1.5k 0.7× 450 0.5× 526 0.7× 585 0.8× 402 0.8× 50 3.7k
Hikaru Koide Japan 37 2.0k 0.9× 523 0.5× 449 0.6× 1.3k 1.7× 190 0.4× 185 4.9k
Hans‐Hellmut Neumayer Germany 38 1.2k 0.5× 1.8k 1.8× 628 0.8× 587 0.8× 123 0.2× 103 4.9k
Antonio Lupo Italy 40 1.5k 0.7× 623 0.6× 1.0k 1.3× 1.1k 1.4× 90 0.2× 172 4.2k

Countries citing papers authored by Won Kon Han

Since Specialization
Citations

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

Fields of papers citing papers by Won Kon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Kon Han. 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 Won Kon Han. The network helps show where Won Kon Han may publish in the future.

Co-authorship network of co-authors of Won Kon Han

This figure shows the co-authorship network connecting the top 25 collaborators of Won Kon Han. A scholar is included among the top collaborators of Won Kon Han 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 Won Kon Han. Won Kon Han 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
2.
Kim, Hyung Ook, et al.. (2015). Age Over 80 is a Possible Risk Factor for Postoperative Morbidity After a Laparoscopic Resection of Colorectal Cancer. Annals of Coloproctology. 31(6). 228–228. 13 indexed citations
3.
Han, Won Kon. (2012). Biomarkers for early detection of acute kidney injury. 77–77. 12 indexed citations
4.
Hall, Isaac E., Steven G. Coca, Mark A. Perazella, et al.. (2011). Risk of Poor Outcomes with Novel and Traditional Biomarkers at Clinical AKI Diagnosis. Clinical Journal of the American Society of Nephrology. 6(12). 2740–2749. 93 indexed citations
5.
Han, Won Kon, et al.. (2011). Kidney injury molecule-1 as an early detection tool for acute kidney injury and other kidney diseases. Expert Opinion on Medical Diagnostics. 5(2). 161–173. 14 indexed citations
6.
Han, Won Kon, Gebhard Wagener, Yanqing Zhu, Shuang Wang, & H. Thomas Lee. (2009). Urinary Biomarkers in the Early Detection of Acute Kidney Injury after Cardiac Surgery. Clinical Journal of the American Society of Nephrology. 4(5). 873–882. 299 indexed citations
7.
Liangos, Orfeas, Hocine Tighiouart, Mary C. Perianayagam, et al.. (2009). Comparative analysis of urinary biomarkers for early detection of acute kidney injury following cardiopulmonary bypass. Biomarkers. 14(6). 423–431. 186 indexed citations
8.
Rothblum, Lawrence I., et al.. (2007). Kidney injury molecule-1 expression in transplant biopsies is a sensitive measure of cell injury. Kidney International. 73(5). 608–614. 148 indexed citations
9.
Liangos, Orfeas, Mary C. Perianayagam, Vishal S. Vaidya, et al.. (2007). Urinary N-Acetyl-β-(D)-Glucosaminidase Activity and Kidney Injury Molecule-1 Level Are Associated with Adverse Outcomes in Acute Renal Failure. Journal of the American Society of Nephrology. 18(3). 904–912. 400 indexed citations
10.
Park, Dong Il, Suk Joong Oh, Hong Joo Kim, et al.. (2006). HER-2/neu overexpression is an independent prognostic factor in colorectal cancer. International Journal of Colorectal Disease. 22(5). 491–7. 91 indexed citations
11.
Han, Won Kon, Chin‐Lee Wu, M. Dror Michaelson, et al.. (2005). Human Kidney Injury Molecule-1 Is a Tissue and Urinary Tumor Marker of Renal Cell Carcinoma. Journal of the American Society of Nephrology. 16(4). 1126–1134. 154 indexed citations
12.
Lee, Eun Kyu, et al.. (2005). Difference in Clinical Features between Appendicitis and Right-Sided Colonic Diverticulitis on Initial Diagnosis. 21(4). 201–206. 5 indexed citations
13.
Shin, Jun Ho & Won Kon Han. (2004). A Study of Sixty Consecutive Whipple Procedure by Single Surgeon. Journal of the Korean Surgical Society. 67(1). 60–64. 1 indexed citations
14.
Yoo, Chang Hak, et al.. (2004). Predictive Value of Preoperative Serum CEA, CA19-9 and CA125 Levels for Peritoneal Metastasis in Patients with Gastric Carcinoma. Cancer Research and Treatment. 36(3). 178–178. 43 indexed citations
16.
Han, Won Kon, Hyon K. Choi, Rachel Roth, Robert T. McCluskey, & John L. Niles. (2003). Serial ANCA titers: Useful tool for prevention of relapses in ANCA-associated vasculitis. Kidney International. 63(3). 1079–1085. 104 indexed citations
17.
Han, Won Kon, et al.. (2003). 100 Cases of Endoscopic Thyroidectomy. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 13(1). 20–25. 90 indexed citations
18.
Han, Won Kon, Véronique Bailly, Rekha Abichandani, Ravi Thadhani, & Joseph V. Bonventre. (2002). Kidney Injury Molecule-1 (KIM-1): A novel biomarker for human renal proximal tubule injury. Kidney International. 62(1). 237–244. 1430 indexed citations breakdown →
19.
Yoo, Chang Hak, et al.. (2002). Nasogastric Decompression is not Necessary in Operations for Gastric Cancer: Prospective Randomised Trial. The European Journal of Surgery. 168(7). 379–383. 62 indexed citations
20.
Shin, Jun Ho, et al.. (2001). A Clinical Review of the Advantages of Laparoscopic Inguinal Herniorrhaphy. Journal of the Korean Surgical Society. 61(6). 604–608. 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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