Thomas Alberico

687 citations
15 papers · 510 · h-index 11

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 8
    • Cancer Treatment and Pharmacology 2
    • Cancer Cells and Metastasis 2
    • Neutropenia and Cancer Infections 2

Thomas Alberico

15 papers receiving 495 citations

Peers

Thomas Alberico
Comparison fields: 5 of 70
  • Aging 145
  • Geriatrics and Gerontology 51
  • Hematology 79
  • Insect Science 70
  • Biochemistry 30
Replace Zhongchi Li with:
Zhongchi Li United States
Tsukasa Fujiki Japan
Rachel Raynes United States
Lucia Bettedi United Kingdom
Xiaoxue Li China
Jenny K. Ngo United States
Chen‐Lin Yu Taiwan
Inés Sánchez-Román Spain
Chantal Garand Canada
MA Birch-Machin United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Alberico

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Alberico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201196
2 199870
3 201065
4 201758
5 201152
6 201242
7 201439
8 199724
9 201318
10
Studies on the regulation of hemopoiesis.
198514
11 201313
12 201110
13 20154
14 20133
15
Bone marrow adherent cell hemopoietic growth factor production.
19852

About Thomas Alberico

Thomas Alberico is a scholar working on Aging, Oncology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Hematology, having authored 15 papers that have together received 510 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Neurobiology and Insect Physiology Research (4 papers), Circadian rhythm and melatonin (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Cells and Metastasis (2 papers), Neutropenia and Cancer Infections (2 papers) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Aging (145 citations), Geriatrics and Gerontology (51 citations), Hematology (79 citations), Insect Science (70 citations) and Biochemistry (30 citations). Thomas Alberico has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Sige Zou, Xiaoping Sun, Mara Laslo, Chunxu Wang, Jason Yolitz, Ethan Basch, Antonia V. Bennett, Michael A. Danso, Rafael de Cabo and Yaning Sun. Their work appears in journals such as Journal of Clinical Oncology, Experimental Gerontology, Bone Marrow Transplantation, Cell Reports and Aging Cell.

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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