Tai‐Ju Hwang

604 citations
25 papers · 489 indexed · h-index 11
Topics
Acute Myeloid Leukemia Research (5 papers)Hematopoietic Stem Cell Transplantation (4 papers)Immunotherapy and Immune Responses (3 papers)
Partner nations
South KoreaJapanGermany

In The Last Decade

Tai‐Ju Hwang

24 papers receiving 475 citations

Peers

Tai‐Ju Hwang
Comparison fields: 5 of 73
  • Molecular Biology 179
  • Immunology 128
  • Hematology 110
  • Pulmonary and Respiratory Medicine 92
  • Oncology 70
Replace K. Ishimoto with:
K. Ishimoto Japan
Phillip Holland United States
Bianca Doninger Austria
M. Ruud Halie Netherlands
John C. Herion United States
Golde Dw United States
Patricia S. Grutkoski United States
Hema Kothari United States
Kristof Van Avondt Netherlands
Marie L. Feser United States
Tai‐Ju Hwang relative to K. Ishimoto Japan K. Ishimoto's profile →
Citations per field
00.5×1.5×2.4×
K. Ishimoto · 1×
Citations per year

Countries citing papers authored by Tai‐Ju Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Ju Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Ju Hwang. 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 Tai‐Ju Hwang. The network helps show where Tai‐Ju Hwang may publish in the future.

Co-authorship network of co-authors of Tai‐Ju Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Ju Hwang. A scholar is included among the top collaborators of Tai‐Ju Hwang 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 Tai‐Ju Hwang. Tai‐Ju Hwang 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 4
3 11
4 6
5 6
6 9
7 56
8 19
9 40
10 20
11 39
12 45
13 2
14 1
15
Clinical Trends in Acute Rheumatic Fever in Korean Children : Mailed Questionnaire Survey from 1988 to 1997 (Compared with 1978-1987)
1
16 16
17
Induction chemotherapy with idarubicin plus N4-behenoyl-1-beta-D-arabinofuranosylcytosine in acute myelogenous leukemia: a newly designed induction regimen--a prospective, cooperative multicenter study.
35
18 123
19 4
20 27

About Tai‐Ju Hwang

Tai‐Ju Hwang is a scholar working on Hematology, Genetics and Immunology, having authored 25 papers that have together received 489 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Hematology (110 citations), Immunology (128 citations) and Genetics (39 citations). Tai‐Ju Hwang has collaborated with scholars based in South Korea, Japan and Germany. Frequent co-authors include David C. Gadsby, Georg Nagel, Hoon Kook, Hyeoung‐Joon Kim, Je‐Jung Lee, Ik‐Joo Chung, Dong‐Wook Ryang, Soon‐Pal Suh, Jong‐Hee Nam and Jong Hee Shin. Their work appears in journals such as Blood, Annual Review of Physiology and Stem Cells.

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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