Jong‐Hyeon Jeong

17.4k citations
138 papers · 11.7k indexed · 4 hit papers · h-index 37
Topics
Statistical Methods and Inference (34 papers)Breast Cancer Treatment Studies (32 papers)HER2/EGFR in Cancer Research (19 papers)

In The Last Decade

Jong‐Hyeon Jeong

132 papers receiving 11.3k citations

Hit Papers

Twenty-Year Follow-up of a Randomized Trial Comparing Tot...2002202620102018200220022014201110002.0k3.0k4.0k

Peers

Jong‐Hyeon Jeong
Comparison fields: 5 of 166
  • Cancer Research 7.5k
  • Oncology 5.0k
  • Pathology and Forensic Medicine 3.5k
  • Surgery 3.0k
  • Radiology, Nuclear Medicine and Imaging 1.6k
Replace Bernard Asselain with:
Bernard Asselain France
Emiel J. Rutgers Netherlands
Melvin Deutsch United States
Pinuccia Valagussa Italy
Alain Fourquet France
Terry L. Smith United States
Jay R. Harris United States
Richard L. Theriault United States
Donald L. Weaver United States
Geertjan van Tienhoven Netherlands
Jong‐Hyeon Jeong relative to Bernard Asselain France Bernard Asselain's profile →
Citations per field
00.5×1.7×
Bernard Asselain · 1×
Citations per year

Countries citing papers authored by Jong‐Hyeon Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Hyeon Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Hyeon Jeong. 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 Jong‐Hyeon Jeong. The network helps show where Jong‐Hyeon Jeong may publish in the future.

Co-authorship network of co-authors of Jong‐Hyeon Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Hyeon Jeong. A scholar is included among the top collaborators of Jong‐Hyeon Jeong 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 Jong‐Hyeon Jeong. Jong‐Hyeon Jeong 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
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 15
6 12
7 0
8 15
9 6
10 12
11 57
12 33
13 3
14 3
15
MAXIMUM LIKELIHOOD ESTIMATION OF OPTIMAL WEIGHT FUNCTION FOR WEIGHTED LOG-RANK TEST
1
16 10
17 14
18
On the asymptotic relative efficiency of estimates from Cox's model
3
19 9
20 14

About Jong‐Hyeon Jeong

Jong‐Hyeon Jeong is a scholar working on Statistics and Probability, Cancer Research and Otorhinolaryngology, having authored 138 papers that have together received 11.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (34 papers), Breast Cancer Treatment Studies (32 papers) and HER2/EGFR in Cancer Research (19 papers). The work is most often cited by research in Cancer Research (7.5k citations), Pathology and Forensic Medicine (3.5k citations) and Oncology (5.0k citations). Jong‐Hyeon Jeong has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Norman Wolmark, Stewart Anderson, Bernard Fisher, John Bryant, Edwin R. Fisher, Melvin Deutsch, Richard G. Margolese, Eleftherios P. Mamounas, Charles E. Geyer and Edward H. Romond. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.

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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