Travis Perera

470 citations
17 papers · 150 · h-index 6

Impact in

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

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 3
    • Polyomavirus and related diseases 3
    • CAR-T cell therapy research 2

Travis Perera

16 papers receiving 148 citations

Peers

Travis Perera
Comparison fields: 5 of 48
  • Hematology 44
  • Immunology 71
  • Oncology 76
  • Physiology 8
  • Genetics 10
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Kevin Dang United States
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Júlia Aguadé-Gorgorió Switzerland
Marine Cuisinier France
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Citations per field
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Citations per year

Countries citing papers authored by Travis Perera

Since Specialization
Citations

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

Fields of papers citing papers by Travis Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201853
2 202041
3 201119
4 20208
5 20156
6 20225
7 20234
8 20223
9 20232
10 20182
11 20212
12
The Impact of Vitamin D Replacement on Survival, Relapse and GvHD after Allogeneic Stem Cell Transplantation: A Matched Cohort Analysis
20181
13 20201
14 20251
15 20071
16 20161
17
The Study of Best Management Practices of Sri Lanka's High Performing Companies
19990

About Travis Perera

Travis Perera is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 17 papers that have together received 150 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (3 papers), Polyomavirus and related diseases (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Adenosine and Purinergic Signaling (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (44 citations), Immunology (71 citations), Oncology (76 citations), Physiology (8 citations) and Genetics (10 citations). Travis Perera has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include David Ritchie, Rachel Koldej, Sara Mastaglio, Mark J. Smyth, Piers Blombery, Eric Wong, Traci Carte, Catherine M. Bollard, Nathaniel Dasyam and Peng Li. Their work appears in journals such as Blood, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Cancer Immunology Research and BMJ Open.

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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