Kwan Gan

703 citations
11 papers · 511 indexed · h-index 11

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • Acute Myeloid Leukemia Research 2
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2

Kwan Gan

11 papers receiving 503 citations

Peers

Kwan Gan
Comparison fields: 5 of 44
  • Hematology 366
  • Immunology 156
  • Public Health, Environmental and Occupational Health 214
  • Pediatrics, Perinatology and Child Health 122
  • Oncology 127
Replace Denise M Oliansky with:
Denise M Oliansky United States
Renee Madden United States
Pil‐Sang Jang South Korea
M Hinterberger-Fischer Austria
B M Camitta United States
K Hattori Japan
Koichiro Ikuta Japan
AR Zander Germany
CA Hurwitz United States
Yuri Okimoto Japan
Kwan Gan relative to Denise M Oliansky United States Denise M Oliansky's profile →
Citations per field
00.5×9.5×
Denise M Oliansky · 1×
Citations per year

Countries citing papers authored by Kwan Gan

Since Specialization
Citations

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

Fields of papers citing papers by Kwan Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 201513
2 201540
3 201352
4 2012132
5 201214
6 2011123
7 201021
8 200820
9 200774
10 200510
11 199512

About Kwan Gan

Kwan Gan is a scholar working on Hematology, Immunology, Genetics, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology, having authored 11 papers that have together received 511 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Lymphoblastic Leukemia research (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Acute Myeloid Leukemia Research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Immunotherapy and Immune Responses (2 papers) and Urinary Tract Infections Management (1 paper). The work is most often cited by research in Hematology (366 citations), Immunology (156 citations), Public Health, Environmental and Occupational Health (214 citations), Pediatrics, Perinatology and Child Health (122 citations) and Oncology (127 citations). Kwan Gan has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Wing Leung, Ching‐Hon Pui, Christine Hartford, Brandon M. Triplett, Jeffrey E. Rubnitz, Mari Dallas, Rupert Handgretinger, Deqing Pei, John T. Sandlund and Asha Pillai. Their work appears in journals such as Blood, Scientific Reports, Journal of Clinical Oncology, Medicine and Pediatric Transplantation.

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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