John Whang

16 papers receiving 1.0k citations

John Whang's Hit Papers

Chromosome Preparatons of Bone Marrow Cells without PriorIn VitroCulture orIn VivoColchicine Administration 1962 · 470 citations
4700+21+42Years since publication100200300400

Peers

John Whang
Comparison fields: 5 of 106
  • Hematology 304
  • Genetics 164
  • Cardiology and Cardiovascular Medicine 164
  • Oncology 178
  • Physiology 149
Replace Monique Plantavid with:
Monique Plantavid France
Peter Presek Germany
Jennifer Smith United Kingdom
P Thomopoulos France
Laura J. Bloem United States
Morey L. Smith United States
Yoshiro Wada Japan
Angelika Grossmann United States
E.B. Robson United Kingdom
Tom E. Howard United States
John Whang relative to Monique Plantavid France Monique Plantavid's profile →
Citations per field
00.5×1.5×
Monique Plantavid · 1×
Citations per year

Countries citing papers authored by John Whang

Since Specialization
Citations

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

Fields of papers citing papers by John Whang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Whang. 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 John Whang. The network helps show where John Whang may publish in the future.

Co-authors

The 25 scholars most cited alongside John Whang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Whang Line = papers co-authored together John Whang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Chromosome Preparatons of Bone Marrow Cells without PriorIn VitroCulture orIn VivoColchicine Administration
Hit paper breakdown →
1962470
2 1993139
3 1964127
4 201899
5
THE STATHMOKINETIC EFFECT OF VINCRISTIME.
196496
6 200140
7 199734
8 199833
9 201230
10 196423
11 200118
12 201317
13 201410
14 19946
15 20161
16 20151

About John Whang

John Whang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Oncology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cardiovascular Function and Risk Factors (2 papers), NMR spectroscopy and applications (2 papers), Pain Mechanisms and Treatments (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Hematology (304 citations), Genetics (164 citations), Cardiology and Cardiovascular Medicine (164 citations), Oncology (178 citations) and Physiology (149 citations). John Whang has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include J. H. Tjio, José Katz, Lawrence M. Boxt, Paul P. Carbone, Emil Frei, R. H. Levin, EE Morse, E. J. Freireich, William R. Bronson and Steven R. Bergmann. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Annals of the New York Academy of Sciences, Journal of Magnetic Resonance Series B, Pain and Journal of Magnetic Resonance.

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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