S Avery

433 citations
15 papers · 270 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Microbiology top 10%
    • Medical Device Sterilization and Disinfection

Papers in

    • Acute Myeloid Leukemia Research 5
    • Hematopoietic Stem Cell Transplantation 4
    • Multiple Myeloma Research and Treatments 2
    • Neutropenia and Cancer Infections 3

S Avery

15 papers receiving 250 citations

Peers

S Avery
Comparison fields: 5 of 61
  • Hematology 145
  • Microbiology 36
  • Gastroenterology 16
  • Oncology 79
  • Genetics 29
Replace Scot W. Hutton with:
Scot W. Hutton United States
Luis E. Aguirre United States
Srinivas Devarakonda United States
Ally Speight United Kingdom
Ermina Iljazović Bosnia and Herzegovina
Shuiyan Wu China
Nobuaki Fukushima Japan
Wing-Yen Wong United States
Nadira Duraković Croatia
Shugo Kowata Japan
S Avery relative to Scot W. Hutton United States Scot W. Hutton's profile →
Citations per field
00.5×7.3×
Scot W. Hutton · 1×
Citations per year

Countries citing papers authored by S Avery

Since Specialization
Citations

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

Fields of papers citing papers by S Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201477
2 197467
3 200451
4 201510
5 20049
6 20079
7 20119
8 19829
9 20147
10 20155
11 20125
12 20174
13 20093
14 20153
15
Combined diabetic thoracic radiculopathy and amyotrophy.
19912

About S Avery

S Avery is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 270 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Neutropenia and Cancer Infections (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Hematology (145 citations), Microbiology (36 citations), Gastroenterology (16 citations), Oncology (79 citations) and Genetics (29 citations). S Avery has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Anthony Axon, P B Cotton, Ian Phillips, Andrew H. Wei, Andrew Spencer, Patricia Walker, Jane F. Apperley, E. Nadal, Eduardo Olavarría and John M. Goldman. Their work appears in journals such as Bone Marrow Transplantation, Journal of the Royal Society of Medicine, The Journal of the Royal College of Physicians of Edinburgh, Leukemia and Leukemia 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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