K H Pyun
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Epidemiology
- Hematology top 10%
- Co-authors
- T. KishimotoNobuhiro NakanoTetsuya TagaKoichi NakajimaKazufumi ShimizuT HiranoKiyoshi YasukawaShin‐ichiro Kashiwamura
- Topics
- Viral Infectious Diseases and Gene Expression in Insects (2 papers)Immune Cell Function and Interaction (2 papers)Natural product bioactivities and synthesis (2 papers)
- Cited by
- ImmunologyHematologyOncology
- Partner nations
- South KoreaUnited StatesMorocco
In The Last Decade
K H Pyun
14 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 497
- Molecular Biology 300
- Oncology 243
- Epidemiology 142
- Hematology 114
Countries citing papers authored by K H Pyun
This map shows the geographic impact of K H Pyun'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 K H Pyun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K H Pyun more than expected).
Fields of papers citing papers by K H Pyun
This network shows the impact of papers produced by K H Pyun. 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 K H Pyun. The network helps show where K H Pyun may publish in the future.
Co-authorship network of co-authors of K H Pyun
This figure shows the co-authorship network connecting the top 25 collaborators of K H Pyun. A scholar is included among the top collaborators of K H Pyun 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 K H Pyun. K H Pyun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 37 | |
| 3 | 13 | |
| 4 | Endogenous interleukin-18 modulates immune escape of murine melanoma cells by regulating the expression of Fas ligand and reactive oxygen intermediates. | 70 |
| 5 | 14 | |
| 6 | 12 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 107 | |
| 13 | The half-lives of IgG subclasses and specific antibodies in patients with primary immunodeficiency who are receiving intravenously administered immunoglobulin. | 190 |
| 14 | Purification to homogeneity and characterization of human B-cell differentiation factor (BCDF or BSFp-2).breakdown → | 589 |
About K H Pyun
K H Pyun is a scholar working on Biological Psychiatry, Immunology and Molecular Biology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), Immune Cell Function and Interaction (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Immunology (497 citations), Hematology (114 citations) and Oncology (243 citations). K H Pyun has collaborated with scholars based in South Korea, United States and Morocco. Frequent co-authors include T. Kishimoto, Nobuhiro Nakano, Tetsuya Taga, Koichi Nakajima, Kazufumi Shimizu, T Hirano, Kiyoshi Yasukawa, Shin‐ichiro Kashiwamura, M Lee and Samia Mankarious. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Hepatology.
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.