Jun‐mo Nam

1.5k citations
55 papers · 1.2k · h-index 20

Impact in

Papers in

Jun‐mo Nam

55 papers receiving 1.1k citations

Peers

Jun‐mo Nam
Comparison fields: 5 of 141
  • Statistics and Probability 367
  • Statistics, Probability and Uncertainty 103
  • Otorhinolaryngology 38
  • Management Science and Operations Research 96
  • Cancer Research 86
Replace Donald G. Thomas with:
Donald G. Thomas United States
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Robert P. Gage United States
Erica Brittain United States
Hongyuan Cao United States
J. C. Wakefield United States
Maurice J. Staquet Belgium
Catherine Legrand Belgium
Luís Meira‐Machado Portugal
Ni Zhao United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐mo Nam

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐mo Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐mo Nam. 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 Jun‐mo Nam. The network helps show where Jun‐mo Nam may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun‐mo Nam, 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 Jun‐mo Nam Line = papers co-authored together Jun‐mo Nam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988138
2 198772
3 199365
4
Carcinogenicity tests of certain environmental and industrial chemicals.
198163
5 199056
6 199650
7 196850
8 199947
9 200244
10 199536
11 198036
12 199835
13 200533
14 199532
15 197632
16 197030
17 199228
18 197326
19 201422
20 200520

About Jun‐mo Nam

Jun‐mo Nam is a scholar working on Statistics and Probability, Management Science and Operations Research, Immunology, Statistics, Probability and Uncertainty and Surgery, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (21 papers), Statistical Methods and Bayesian Inference (12 papers), Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (6 papers), Advanced Causal Inference Techniques (5 papers), T-cell and B-cell Immunology (5 papers), Reliability and Agreement in Measurement (5 papers) and Statistical Methods in Epidemiology (5 papers). The work is most often cited by research in Statistics and Probability (367 citations), Statistics, Probability and Uncertainty (103 citations), Otorhinolaryngology (38 citations), Management Science and Operations Research (96 citations) and Cancer Research (86 citations). Jun‐mo Nam has collaborated with scholars based in United States, Malaysia and South Korea. Frequent co-authors include John J. Gart, Douglas G. Chapman, Joseph K. McLaughlin, William C. Blackwelder, Joseph Scotto, Deukwoo Kwon, Wong‐Ho Chow, Borge M. Ulland, Zdenek Hrubec and William J. Blot. Their work appears in journals such as Biometrics, Statistics in Medicine, Biometrical Journal, American Journal of Epidemiology and JNCI Journal of the National Cancer Institute.

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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