Fiona He

708 citations
33 papers · 425 · h-index 10

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Acute Myeloid Leukemia Research 12
    • Hematopoietic Stem Cell Transplantation 11
    • CAR-T cell therapy research 5

Fiona He

32 papers receiving 420 citations

Peers

Fiona He
Comparison fields: 5 of 60
  • Hematology 165
  • Immunology 235
  • Oncology 259
  • Transplantation 11
  • Genetics 36
Replace Melanie Bremm with:
Melanie Bremm Germany
Jun Nakata Japan
Andrea Towlerton United States
Salyka Sengsayadeth United States
Sarah Mertlitz Germany
Mateja Kralj Juric Austria
Alexandra Laberko Russia
Elena Kurnikova Russia
Monique M. van Ostaijen-ten Dam Netherlands
Takahide Ara Japan
Fiona He relative to Melanie Bremm Germany Melanie Bremm's profile →
Citations per field
00.5×1.5×1.9×
Melanie Bremm · 1×
Citations per year

Countries citing papers authored by Fiona He

Since Specialization
Citations

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

Fields of papers citing papers by Fiona He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019179
2 201546
3 201932
4 202124
5 202119
6 201616
7 202114
8 202114
9 201813
10 20209
11 20209
12 20217
13 20176
14 20195
15 20163
16 20193
17 20243
18 20183
19 20182
20 20192

About Fiona He

Fiona He is a scholar working on Hematology, Oncology, Immunology, Molecular Biology and Genetics, having authored 33 papers that have together received 425 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (11 papers), Immune Cell Function and Interaction (6 papers), Lymphoma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hematology (165 citations), Immunology (235 citations), Oncology (259 citations), Transplantation (11 citations) and Genetics (36 citations). Fiona He has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Daniel J. Weisdorf, Todd E. DeFor, Bruce R. Blazar, Gregory M. Vercellotti, Veronika Bachanová, Jeffrey S. Miller, David H. McKenna, Bartosz Grzywacz, Kevin C. Conlon and Shernan G. Holtan. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Transplantation and Cellular Therapy, Bone Marrow Transplantation and British Journal of Haematology.

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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