Janet Ayello

1.7k citations
118 papers · 1.3k · h-index 21

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 36
    • Immune Cell Function and Interaction 39

Janet Ayello

114 papers receiving 1.3k citations

Peers

Janet Ayello
Comparison fields: 5 of 73
  • Hematology 283
  • Oncology 646
  • Immunology 492
  • Genetics 137
  • Pathology and Forensic Medicine 190
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Citations per field
00.5×2.9×
Jennifer A. Kanakry · 1×
Citations per year

Countries citing papers authored by Janet Ayello

Since Specialization
Citations

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

Fields of papers citing papers by Janet Ayello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998164
2 2014145
3 201771
4 201569
5 200952
6 201050
7 201742
8 200241
9 200632
10 200930
11 201728
12 201425
13 199823
14 201223
15 199723
16
Phase I trial of sequential high-dose chemotherapy with escalating dose paclitaxel, melphalan, and cyclophosphamide, thiotepa, and carboplatin with peripheral blood progenitor support in women with responding metastatic breast cancer.
199823
17 200721
18 200921
19 201121
20
Retroviral transfer and expression of the human multiple drug resistance (MDR) gene in peripheral blood progenitor cells.
199621

About Janet Ayello

Janet Ayello is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Genetics and Hematology, having authored 118 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (39 papers), Lymphoma Diagnosis and Treatment (37 papers), CAR-T cell therapy research (36 papers), Hematopoietic Stem Cell Transplantation (25 papers), Chronic Lymphocytic Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (13 papers), Hemoglobinopathies and Related Disorders (8 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Hematology (283 citations), Oncology (646 citations), Immunology (492 citations), Genetics (137 citations) and Pathology and Forensic Medicine (190 citations). Janet Ayello has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Mitchell S. Cairo, Carmella van de Ven, Yaya Chu, Matthew J. Barth, Jessica Hochberg, Charles Hesdorffer, Myron S. Czuczman, Prakash Satwani, Karen H. Antman and Linda T. Vahdat. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Cancer Research, Cytotherapy and Oncotarget.

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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