Alyssa Cull

830 citations
15 papers · 324 · h-index 6

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Epigenetics and DNA Methylation 5
    • CRISPR and Genetic Engineering 3
    • Cancer-related gene regulation 2
    • Single-cell and spatial transcriptomics 1
    • Acute Myeloid Leukemia Research 6

Alyssa Cull

14 papers receiving 320 citations

Peers

Alyssa Cull
Comparison fields: 5 of 58
  • Hematology 151
  • Genetics 77
  • Immunology 107
  • Cancer Research 44
  • Molecular Biology 160
Replace Jingliao Zhang with:
Jingliao Zhang China
Jodie Ulaszek United States
Ivan Sloma France
Teresa Sadras Australia
Yinyin Zhang China
Antonella Santoro United Kingdom
L.R. Silverman United States
Kazuo Waga Japan
Kyle Ferchen United States
Jutta Ortiz-Tánchez Germany
Alyssa Cull relative to Jingliao Zhang China Jingliao Zhang's profile →
Citations per field
00.5×2.9×
Jingliao Zhang · 1×
Citations per year

Countries citing papers authored by Alyssa Cull

Since Specialization
Citations

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

Fields of papers citing papers by Alyssa Cull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017222
2 202128
3 202327
4 201715
5 201713
6 20155
7 20214
8 20252
9 20162
10 20212
11
Behavioural factors influencing the development and expression of chemotherapy induced side effects: a discussion of a paper by Dr Gary Morrow
19921
12 20241
13 20241
14 20131
15 20160

About Alyssa Cull

Alyssa Cull is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Oncology, having authored 15 papers that have together received 324 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (5 papers), Immune cells in cancer (5 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cancer-related gene regulation (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Hematology (151 citations), Genetics (77 citations), Immunology (107 citations), Cancer Research (44 citations) and Molecular Biology (160 citations). Alyssa Cull has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Michael J. Rauh, Brooke Snetsinger, Rena Buckstein, Richard A. Wells, David G. Kent, David A. Williams, Marioara F. Ciuculescu, Michael Spencer Chapman, Erica B. Esrick and Emily Mitchell. Their work appears in journals such as Blood, Experimental Hematology, BMC Genomics, Nature Medicine and Journal of Leukocyte Biology.

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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