Ban-An Khaw

1.8k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Ban-An Khaw is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Ban-An Khaw has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cardiology and Cardiovascular Medicine and 2 papers in Surgery. Recurrent topics in Ban-An Khaw's work include Viral Infections and Immunology Research (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Ban-An Khaw is often cited by papers focused on Viral Infections and Immunology Research (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Ban-An Khaw collaborates with scholars based in United States, Italy and India. Ban-An Khaw's co-authors include Jagat Narula, Nezam Haider, Frank D. Kolodgie, Ulrich Schmidt, Marc J. Semigran, Roger J. Hajjar, Renu Virmani, G. William Dec, Jagat Narula and Surender Kharbanda and has published in prestigious journals such as New England Journal of Medicine, Journal of the American College of Cardiology and CHEST Journal.

In The Last Decade

Ban-An Khaw

10 papers receiving 1.4k citations

Hit Papers

Apoptosis in Myocytes in End-Stage Heart Failure 1996 2026 2006 2016 1996 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ban-An Khaw United States 7 751 718 223 203 174 10 1.4k
Marc J. Semigran United States 7 645 0.9× 786 1.1× 217 1.0× 337 1.7× 80 0.5× 8 1.4k
Rakesh Abbi United States 7 829 1.1× 723 1.0× 299 1.3× 238 1.2× 47 0.3× 9 1.5k
P Hazarika United States 8 592 0.8× 429 0.6× 128 0.6× 85 0.4× 42 0.2× 10 1.0k
Rebeccah F. Young United States 17 408 0.5× 418 0.6× 114 0.5× 144 0.7× 216 1.2× 24 971
Motoo Kanoh Japan 11 521 0.7× 352 0.5× 136 0.6× 139 0.7× 24 0.1× 19 876
Masanori Sunagawa Japan 14 447 0.6× 503 0.7× 302 1.4× 101 0.5× 30 0.2× 38 1.1k
Yukihiro Hayakawa Japan 11 1.2k 1.6× 653 0.9× 400 1.8× 236 1.2× 33 0.2× 14 1.9k
Su Wang China 14 441 0.6× 385 0.5× 85 0.4× 140 0.7× 45 0.3× 51 990
Madhulika Chandra United States 13 1.1k 1.4× 744 1.0× 162 0.7× 216 1.1× 52 0.3× 13 1.8k
Amanda Versteilen Netherlands 16 406 0.5× 198 0.3× 64 0.3× 84 0.4× 118 0.7× 22 1.2k

Countries citing papers authored by Ban-An Khaw

Since Specialization
Citations

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

Fields of papers citing papers by Ban-An Khaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ban-An Khaw. 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 Ban-An Khaw. The network helps show where Ban-An Khaw may publish in the future.

Co-authorship network of co-authors of Ban-An Khaw

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

All Works

10 of 10 papers shown
1.
Anderson, Carolyn J., Jeff W. M. Bulte, Kai Chen, et al.. (2010). Design of Targeted Cardiovascular Molecular Imaging Probes. Journal of Nuclear Medicine. 51(Supplement 1). 3S–17S. 26 indexed citations
2.
Johnson, Gerald, et al.. (2005). 99mTc-glucarate imaging for the early detection of infarct in partially reperfused canine myocardium. European Journal of Nuclear Medicine and Molecular Imaging. 33(3). 319–328. 5 indexed citations
3.
Khaw, Ban-An. (1999). The current role of infarct avid imaging. Seminars in Nuclear Medicine. 29(3). 259–270. 22 indexed citations
4.
Narula, Jagat, Arun Malhotra, Tsunehiro Yasuda, et al.. (1999). Usefulness of antimyosin antibody imaging for the detection of active rheumatic myocarditis. The American Journal of Cardiology. 84(8). 946–950. 7 indexed citations
5.
Petrov, Artiom, et al.. (1997). Noninvasive Detection of Atherosclerotic Lesions by 99mTc-Based Immunoscintigraphic Targeting of Proliferating Smooth Muscle Cells. CHEST Journal. 111(6). 1684–1690. 9 indexed citations
6.
Narula, Jagat, Surender Kharbanda, & Ban-An Khaw. (1997). Apoptosis and the Heart. CHEST Journal. 112(5). 1358–1362. 65 indexed citations
7.
Narula, Jagat, Nezam Haider, Renu Virmani, et al.. (1996). Apoptosis in Myocytes in End-Stage Heart Failure. New England Journal of Medicine. 335(16). 1182–1189. 1141 indexed citations breakdown →
8.
Khaw, Ban-An, et al.. (1996). Radionuclide Imaging of the Synthetic Smooth Muscle Cell Phenotype in Experimental Atherosclerotic Lesions. Trends in Cardiovascular Medicine. 6(7). 226–232. 6 indexed citations
9.
Narula, Jagat, et al.. (1995). 962-122 Very Early Noninvasive Imaging of Acute Myocardial Infarcts with Tc-99m-Glucarate. Journal of the American College of Cardiology. 25(2). 218A–218A. 6 indexed citations
10.
Khaw, Ban-An, et al.. (1984). Monoclonal Antibody to Cardiac Myosin: Imaging of Experimental Myocardial Infarction. Hybridoma. 3(1). 11–23. 124 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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