Chi-Bom Chae

581 total citations
8 papers, 397 citations indexed

About

Chi-Bom Chae is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chi-Bom Chae has authored 8 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Chi-Bom Chae's work include Sodium Intake and Health (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Blood Pressure and Hypertension Studies (1 paper). Chi-Bom Chae is often cited by papers focused on Sodium Intake and Health (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Blood Pressure and Hypertension Studies (1 paper). Chi-Bom Chae collaborates with scholars based in South Korea and United States. Chi-Bom Chae's co-authors include James O. Taylor, Jack M. Guralnik, Charles H. Hennekens, Robert J. Glynn, JoAnn E. Manson, F. B. Hu, E. B. Rimm, Christine M. Albert, Kathryn M. Rexrode and Meir J. Stampfer and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Analytical Biochemistry and American Journal of Epidemiology.

In The Last Decade

Chi-Bom Chae

8 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chi-Bom Chae South Korea	5	188	64	52	46	43	8	397
Ali Zahedmehr Iran	12	125 0.7×	33 0.5×	46 0.9×	47 1.0×	39 0.9×	60	421
Melvyn Rubenfire United States	6	151 0.8×	68 1.1×	35 0.7×	17 0.4×	29 0.7×	9	333
Elisa Catasca Italy	10	125 0.7×	94 1.5×	57 1.1×	25 0.5×	34 0.8×	12	461
Rein Teesalu Estonia	14	278 1.5×	56 0.9×	51 1.0×	59 1.3×	24 0.6×	25	502
Valeria Ludovici Italy	7	117 0.6×	36 0.6×	30 0.6×	27 0.6×	26 0.6×	9	302
Barrett Jeffers United States	8	170 0.9×	75 1.2×	68 1.3×	32 0.7×	22 0.5×	9	504
Konstantinos Zisimos Greece	8	107 0.6×	61 1.0×	56 1.1×	16 0.3×	56 1.3×	23	343
Nikolaos Gouliopoulos Greece	13	123 0.7×	58 0.9×	52 1.0×	27 0.6×	61 1.4×	47	512
Nicolas Barber‐Chamoux France	9	174 0.9×	53 0.8×	51 1.0×	61 1.3×	26 0.6×	19	352
K. Aznaouridis Greece	12	395 2.1×	114 1.8×	40 0.8×	80 1.7×	73 1.7×	19	636

Countries citing papers authored by Chi-Bom Chae

Since Specialization

Citations

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

Fields of papers citing papers by Chi-Bom Chae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Bom Chae. 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 Chi-Bom Chae. The network helps show where Chi-Bom Chae may publish in the future.

Co-authorship network of co-authors of Chi-Bom Chae

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Goh, Hyun‐Gyung, et al.. (2012). Genotyping of Chimerical BCR-ABL1 RNA in Chronic Myeloid Leukemia by Integrated DNA Chip. Journal of Molecular Diagnostics. 14(5). 487–493. 1 indexed citations

2.

Kim, Jung‐Wook, Tae‐Dong Kim, Bok Sil Hong, et al.. (2010). A serum-stable branched dimeric anti-VEGF peptide blocks tumor growth via anti-angiogenic activity. Experimental & Molecular Medicine. 42(7). 514–514. 23 indexed citations

3.

Kim, Kyung-Tae, Chan Hyun Na, Yeo‐Min Yun, et al.. (2009). Dramatic increase in signal by integration of polymerase chain reaction and hybridization on surface of DNA microarray. Analytical Biochemistry. 396(1). 139–145. 4 indexed citations

4.

Lin, Jung‐Yaw, Kathryn M. Rexrode, F. B. Hu, et al.. (2007). Dietary Intakes of Flavonols and Flavones and Coronary Heart Disease in US Women. American Journal of Epidemiology. 165(11). 1305–1313. 106 indexed citations

5.

Na, Chan Hyun, Mihwa Lee, Bo Youn Cho, & Chi-Bom Chae. (2003). A Method for Identification of the Peptides That Bind to a Clone of Thyroid-Stimulating Antibodies in the Serum of Graves’ Disease Patients. The Journal of Clinical Endocrinology & Metabolism. 88(4). 1570–1576. 3 indexed citations

6.

Mittleman, Murray A., et al.. (2001). TRIGGERING OF SUDDEN DEATH FROM CARDIAC CAUSES BY VIGOROUS EXERTION. Journal of Cardiopulmonary Rehabilitation. 21(2). 117–117. 35 indexed citations

7.

Glynn, Robert J., Chi-Bom Chae, Jack M. Guralnik, James O. Taylor, & Charles H. Hennekens. (2000). Pulse Pressure and Mortality in Older People. Archives of Internal Medicine. 160(18). 2765–2765. 190 indexed citations

8.

Riley, D., et al.. (1987). Damage and repair of lung connective tissue in rats exposed to toxic levels of oxygen.. PubMed. 135(2). 441–7. 35 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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