R. Nam

1.7k citations
22 papers · 1.2k · h-index 15

Impact in

Papers in

R. Nam

21 papers receiving 1.2k citations

Peers

R. Nam
Comparison fields: 5 of 78
  • Pulmonary and Respiratory Medicine 636
  • Cancer Research 250
  • Oncology 183
  • Endocrinology, Diabetes and Metabolism 82
  • Molecular Biology 350
Replace Matthias D. Hofer with:
Matthias D. Hofer United States
Samanta Salvi Italy
Dingwei Ye China
Yoo‐Joung Ko United States
Valentina Casadio Italy
Pier Vitale Nuzzo United States
Elzbieta Stankiewicz United Kingdom
Daniel Khalaf Canada
Mareyuki Endoh Japan
Murilo Luz Brazil
R. Nam relative to Matthias D. Hofer United States Matthias D. Hofer's profile →
Citations per field
00.5×3.9×
Matthias D. Hofer · 1×
Citations per year

Countries citing papers authored by R. Nam

Since Specialization
Citations

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

Fields of papers citing papers by R. Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007197
2 2003150
3 2007143
4 2020123
5 2008101
6 200494
7 200176
8 201453
9 201253
10 201050
11 200841
12 201241
13 201530
14 200727
15
Prostate cancer: 2. Natural history.
199816
16 20136
17 20136
18
Reference Values of Cord Blood and Peripheral Blood of Neonate
19893
19 20111
20 20061

About R. Nam

R. Nam is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Genetics and Oncology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Cancer-related molecular mechanisms research (3 papers), Advanced Radiotherapy Techniques (2 papers), Cancer, Lipids, and Metabolism (2 papers), Molecular Biology Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (636 citations), Cancer Research (250 citations), Oncology (183 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Molecular Biology (350 citations). R. Nam has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Laurence Klotz, Arun Seth, Linda Sugar, Steven A. Narod, Neil Fleshner, John Trachtenberg, Michael A.S. Jewett, Laurence Klotz, Christopher J.D. Wallis and Girish S. Kulkarni. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, Prostate Cancer and Prostatic Diseases, JNCI Journal of the National Cancer Institute and Annals of Oncology.

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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