Travis Perera

522 citations
19 papers · 160 · h-index 6

Impact in

    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer

Papers in

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

Travis Perera

17 papers receiving 158 citations

Peers

Travis Perera
Comparison fields: 5 of 47
  • Hematology 47
  • Immunology 71
  • Oncology 74
  • Physiology 8
  • Genetics 9
Replace Harshad S. Ugamraj with:
Harshad S. Ugamraj United States
Kevin Dang United States
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Phoebe Joy Ho Australia
Marine Cuisinier France
Sheng-Ben Liang Canada
William B. Ainsworth United States
Francesca Bonello Italy
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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

19 of 19 papers shown
#Work
1 201854
2 202041
3 201119
4 20208
5 20258
6 20156
7 20225
8 20234
9 20224
10 20232
11 20212
12 20182
13 20201
14
The Impact of Vitamin D Replacement on Survival, Relapse and GvHD after Allogeneic Stem Cell Transplantation: A Matched Cohort Analysis
20181
15 20241
16 20071
17 20161
18
The Study of Best Management Practices of Sri Lanka's High Performing Companies
19990
19 20250

About Travis Perera

Travis Perera is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 19 papers that have together received 160 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Chronic Myeloid Leukemia Treatments (3 papers), CAR-T cell therapy research (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Adenosine and Purinergic Signaling (2 papers), Polyomavirus and related diseases (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Hematology (47 citations), Immunology (71 citations), Oncology (74 citations), Physiology (8 citations) and Genetics (9 citations). Travis Perera has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include David Ritchie, Rachel Koldej, Mark J. Smyth, Piers Blombery, Sara Mastaglio, Eric Wong, Traci Carte, Nathaniel Dasyam, Giulia Giunti and Chris Frampton. Their work appears in journals such as Blood, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, International Journal of Molecular Sciences and Cancer Immunology Research.

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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