Amy Publicover

410 citations
11 papers · 194 · h-index 7

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Biosimilars and Bioanalytical Methods
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 1
    • Immunotherapy and Immune Responses 2
    • Biosimilars and Bioanalytical Methods 2
    • T-cell and B-cell Immunology 2

Amy Publicover

10 papers receiving 190 citations

Peers

Amy Publicover
Comparison fields: 5 of 32
  • Hematology 84
  • Immunology 69
  • Oncology 77
  • Genetics 18
  • Genetics 32
Replace Daniel Egan with:
Daniel Egan United States
Patricia Littel United States
Eva Wagner-Drouet Germany
Patricia A. Olofsen Netherlands
Patricia Steinert United States
Mary Steinbach United States
Irene García‐Cadenas Spain
Timon Hansen Germany
Santosh Narat United Kingdom
Yahya Al-Matary Germany
Amy Publicover relative to Daniel Egan United States Daniel Egan's profile →
Citations per field
00.5×
Daniel Egan · 1×
Citations per year

Countries citing papers authored by Amy Publicover

Since Specialization
Citations

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

Fields of papers citing papers by Amy Publicover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202043
2 201442
3 201341
4 201622
5 201918
6 201514
7 20157
8 20133
9 20122
10 20132
11 20190

About Amy Publicover

Amy Publicover is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Genetics, having authored 11 papers that have together received 194 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Acute Myeloid Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Neutropenia and Cancer Infections (3 papers), Immunotherapy and Immune Responses (2 papers), Biosimilars and Bioanalytical Methods (2 papers), T-cell and B-cell Immunology (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (84 citations), Immunology (69 citations), Oncology (77 citations), Genetics (18 citations) and Genetics (32 citations). Amy Publicover has collaborated with scholars based in United Kingdom, Germany and Israel. Frequent co-authors include Kim Orchard, Michael Schmitt, Arnon Nagler, Anita Schmitt, Panagiotis Tsirigotis, Lei Wang, Venetia Bigley, Matthew Collin, Jean‐Marc Hoffmann and Katrin Lorenz. Their work appears in journals such as Blood, British Journal of Haematology, HemaSphere, Journal of Clinical Investigation and PLoS ONE.

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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