Daniel Byun

524 citations
16 papers · 148 · h-index 7

Impact in

Papers in

    • Acute Myeloid Leukemia Research 5
    • Hematopoietic Stem Cell Transplantation 3
    • Multiple Myeloma Research and Treatments 2
    • Cancer Cells and Metastasis 2

Daniel Byun

15 papers receiving 144 citations

Peers

Daniel Byun
Comparison fields: 5 of 57
  • Hematology 26
  • Behavioral Neuroscience 7
  • Immunology 27
  • Biological Psychiatry 3
  • Genetics 11
Replace Marcelo Iastrebner with:
Marcelo Iastrebner Argentina
Jin-Young Choi United States
Lindsay Rein United States
Giuseppe Sapienza Italy
Iddrisu Baba Yabasin Ghana
Michelle Schweiger United States
Maximiliano Ruben Ferrero Argentina
Bonnie Le United States
María Rosaria Pricolo Spain
Renata Collard United States
Daniel Byun relative to Marcelo Iastrebner Argentina Marcelo Iastrebner's profile →
Citations per field
00.5×4.5×
Marcelo Iastrebner · 1×
Citations per year

Countries citing papers authored by Daniel Byun

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Byun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201834
2 200421
3 201520
4 202116
5 202016
6 201613
7 20119
8 20255
9 20194
10 19953
11 20232
12 20212
13 20211
14 20191
15 20221
16 20150

About Daniel Byun

Daniel Byun is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Psychiatry and Mental health, having authored 16 papers that have together received 148 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Mesenchymal stem cell research (3 papers), Cancer Cells and Metastasis (2 papers), Bone and Joint Diseases (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Hematology (26 citations), Behavioral Neuroscience (7 citations), Immunology (27 citations), Biological Psychiatry (3 citations) and Genetics (11 citations). Daniel Byun has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Laura M. Calvi, Benjamin J. Frisch, Shen Wang, Michael W. Becker, Emily J. Hanan, Subramanian Baskaran, Rhonda J. Staversky, Mary Georger, Edward B. Brown and Kelley S. Madden. Their work appears in journals such as Blood, Bioorganic & Medicinal Chemistry Letters, The FASEB Journal, Brain Behavior and Immunity and Biomedical Optics Express.

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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