Nam H. Dang

10.3k citations
194 papers · 7.6k indexed · h-index 49
Topics
Peptidase Inhibition and Analysis (68 papers)Lymphoma Diagnosis and Treatment (51 papers)Chronic Lymphocytic Leukemia Research (24 papers)

In The Last Decade

Nam H. Dang

192 papers receiving 7.5k citations

Peers

Nam H. Dang
Comparison fields: 5 of 129
  • Oncology 4.2k
  • Molecular Biology 2.2k
  • Pathology and Forensic Medicine 1.9k
  • Immunology 1.7k
  • Cellular and Molecular Neuroscience 1.2k
Replace Ermanno Gherardi with:
Ermanno Gherardi United Kingdom
Parkash S. Gill United States
Pier Giorgio Natali Italy
Jason Chesney United States
Dionyssios Katsaros Italy
Livia Casciola‐Rosen United States
Fabien Calvo France
Yuji Hinoda Japan
Woo Ho Kim South Korea
Joseph Locker United States
Nam H. Dang relative to Ermanno Gherardi United Kingdom Ermanno Gherardi's profile →
Citations per field
00.5×
Ermanno Gherardi · 1×
Citations per year

Countries citing papers authored by Nam H. Dang

Since Specialization
Citations

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

Fields of papers citing papers by Nam H. Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam H. Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Nam H. Dang. A scholar is included among the top collaborators of Nam H. Dang 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 Nam H. Dang. Nam H. Dang 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 5
3 2
4 1
5 6
6 27
7 24
8 119
9 49
10 54
11 40
12 134
13 294
14 62
15
Recovery of natural killer cell counts after one course of CHOP chemotherapy is diminished in patients older than 60 compared to patients younger than 60.
2
16 18
17 44
18 27
19 51
20 164

About Nam H. Dang

Nam H. Dang is a scholar working on Oncology, Pathology and Forensic Medicine and Genetics, having authored 194 papers that have together received 7.6k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (68 papers), Lymphoma Diagnosis and Treatment (51 papers) and Chronic Lymphocytic Leukemia Research (24 papers). The work is most often cited by research in Oncology (4.2k citations), Pathology and Forensic Medicine (1.9k citations) and Genetics (882 citations). Nam H. Dang has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Chikao Morimoto, Kei Ohnuma, Yoshihiro Torimoto, Satoshi Iwata, Barbara Pro, S F Schlossman, Osamu Hosono, Stuart F. Schlossman, Felipe Samaniego and Jorge Romaguera. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

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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