Kee-Hak Lim

5.0k total citations · 1 hit paper
8 papers, 4.0k citations indexed

About

Kee-Hak Lim is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Immunology. According to data from OpenAlex, Kee-Hak Lim has authored 8 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Obstetrics and Gynecology, 6 papers in Pediatrics, Perinatology and Child Health and 3 papers in Immunology. Recurrent topics in Kee-Hak Lim's work include Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (5 papers) and Reproductive System and Pregnancy (3 papers). Kee-Hak Lim is often cited by papers focused on Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (5 papers) and Reproductive System and Pregnancy (3 papers). Kee-Hak Lim collaborates with scholars based in United States and Israel. Kee-Hak Lim's co-authors include S. Ananth Karumanchi, Frank W. Sellke, Vikas P. Sukhatme, Susanta Mondal, Jianyi Li, Isaac E. Stillman, Franklin H. Epstein, Towia A. Libermann, James P. Morgan and Sharon E. Maynard and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Hypertension.

In The Last Decade

Kee-Hak Lim

8 papers receiving 3.9k citations

Hit Papers

Excess placental soluble fms-like tyrosine kinase 1 (sFlt... 2003 2026 2010 2018 2003 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kee-Hak Lim United States 8 3.4k 2.4k 1.5k 542 309 8 4.0k
Sharon E. Maynard United States 19 4.5k 1.3× 3.2k 1.3× 2.0k 1.3× 631 1.2× 477 1.5× 33 5.3k
Stefan Verlohren Germany 36 4.8k 1.4× 3.8k 1.6× 1.9k 1.3× 300 0.6× 448 1.4× 103 5.6k
Haitao Yuan China 12 1.3k 0.4× 888 0.4× 741 0.5× 559 1.0× 165 0.5× 21 2.3k
Reynir Arngrı́msson Iceland 20 1.3k 0.4× 1.1k 0.4× 313 0.2× 188 0.3× 133 0.4× 41 2.0k
Antonio F. Saad United States 20 417 0.1× 447 0.2× 220 0.1× 394 0.7× 214 0.7× 100 1.4k
Winston W. Bakker Netherlands 19 434 0.1× 258 0.1× 439 0.3× 242 0.4× 128 0.4× 33 1.3k
Alfredo Leaños‐Miranda Mexico 23 397 0.1× 317 0.1× 239 0.2× 284 0.5× 89 0.3× 67 1.4k
Antonio Mollo Italy 41 2.1k 0.6× 481 0.2× 334 0.2× 376 0.7× 1.0k 3.3× 145 3.6k
Guido Menato Italy 23 818 0.2× 396 0.2× 97 0.1× 343 0.6× 263 0.9× 59 1.6k
Velja Mijatovic Netherlands 31 1.1k 0.3× 218 0.1× 272 0.2× 132 0.2× 471 1.5× 147 2.7k

Countries citing papers authored by Kee-Hak Lim

Since Specialization
Citations

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

Fields of papers citing papers by Kee-Hak Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee-Hak Lim. 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 Kee-Hak Lim. The network helps show where Kee-Hak Lim may publish in the future.

Co-authorship network of co-authors of Kee-Hak Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Kee-Hak Lim. A scholar is included among the top collaborators of Kee-Hak Lim 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 Kee-Hak Lim. Kee-Hak Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Paré, Emmanuelle, Samuel Parry, Thomas F. McElrath, et al.. (2014). Clinical Risk Factors for Preeclampsia in the 21st Century. Obstetrics and Gynecology. 124(4). 763–770. 139 indexed citations
2.
Cohen, Allison, Julia Wenger, Tamarra James‐Todd, et al.. (2013). The association of circulating angiogenic factors and HbA1c with the risk of preeclampsia in women with preexisting diabetes. Hypertension in Pregnancy. 33(1). 81–92. 45 indexed citations
3.
McElrath, Thomas F., Kee-Hak Lim, Emmanuelle Paré, et al.. (2012). Longitudinal evaluation of predictive value for preeclampsia of circulating angiogenic factors through pregnancy. American Journal of Obstetrics and Gynecology. 207(5). 407.e1–407.e7. 123 indexed citations
4.
Lam, Chun Sing, Kee-Hak Lim, Duk‐Hee Kang, & S. Ananth Karumanchi. (2005). Uric acid and preeclampsia. Seminars in Nephrology. 25(1). 56–60. 66 indexed citations
5.
Lam, Chun Sing, Kee-Hak Lim, & S. Ananth Karumanchi. (2005). Circulating Angiogenic Factors in the Pathogenesis and Prediction of Preeclampsia. Hypertension. 46(5). 1077–1085. 306 indexed citations
6.
Maynard, Sharon E., Jaime R. Merchan, Kee-Hak Lim, et al.. (2003). Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsia. Journal of Clinical Investigation. 111(5). 649–658. 3135 indexed citations breakdown →
7.
Waite, Leslie L., et al.. (2000). Placental Peroxisome Proliferator-Activated Receptor-γ Is Up-Regulated by Pregnancy Serum1. The Journal of Clinical Endocrinology & Metabolism. 85(10). 3808–3814. 67 indexed citations
8.
Taylor, Robert N., et al.. (1998). Circulating Factors as Markers and Mediators of Endothelial Cell Dysfunction in Preeclampsia. Seminars in Reproductive Medicine. 16(1). 17–31. 117 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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