John Kwan

783 citations
31 papers · 516 · h-index 12

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 14
    • Acute Myeloid Leukemia Research 8
    • Cancer survivorship and care 5
    • CAR-T cell therapy research 2

John Kwan

31 papers receiving 510 citations

Peers

John Kwan
Comparison fields: 5 of 53
  • Hematology 301
  • Transplantation 28
  • Genetics 88
  • Oncology 169
  • Immunology 99
Replace Sergey N. Bondarenko with:
Sergey N. Bondarenko Russia
Vaneuza Araújo Moreira Funke Brazil
Sharon Avery Australia
Olga Militano United States
Minako Iida Japan
Nada Hamad Australia
Edward Peres United States
Fanny Rialland France
Alaa Elhaddad Egypt
Michael Gratwohl Switzerland
John Kwan relative to Sergey N. Bondarenko Russia Sergey N. Bondarenko's profile →
Citations per field
00.5×
Sergey N. Bondarenko · 1×
Citations per year

Countries citing papers authored by John Kwan

Since Specialization
Citations

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

Fields of papers citing papers by John Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201495
2 200970
3 200948
4 201542
5 201530
6 201530
7 200729
8 201628
9 201521
10 201619
11 201618
12 201215
13 202111
14 20168
15 20237
16
Reduced Intensity Conditioning Hematopoietic Stem Cell Transplantation (HSCT) with Mesenchymal Stromal Cell (MSC) infusion for the Treatment of Metachromatic Leukodystrophy (MLD): A case report
20087
17 20196
18 20185
19 20224
20 20164

About John Kwan

John Kwan is a scholar working on Hematology, Oncology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics, having authored 31 papers that have together received 516 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Cancer survivorship and care (5 papers), Mesenchymal stem cell research (4 papers), RNA Interference and Gene Delivery (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (301 citations), Transplantation (28 citations), Genetics (88 citations), Oncology (169 citations) and Immunology (99 citations). John Kwan has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Gillian Huang, David Gottlieb, Philippe Martiat, Philippe Lewalle, Dominique Bron, Kenneth F. Bradstock, Nathalie Meuleman, Imran Ahmad, F. Crokaert and Tatiana Tondreau. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Haematologica, Bone Marrow Transplantation and Supportive Care in Cancer.

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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