Matthew R. Eber

1.4k citations
29 papers · 1.1k · h-index 16

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Bone health and treatments
    • HER2/EGFR in Cancer Research
    • Cancer Diagnosis and Treatment
    • Breast Cancer Treatment Studies

Papers in

Matthew R. Eber

29 papers receiving 1.1k citations

Peers

Matthew R. Eber
Comparison fields: 5 of 88
  • Oncology 614
  • Cancer Research 275
  • Immunology 180
  • Orthopedics and Sports Medicine 58
  • Pulmonary and Respiratory Medicine 200
Replace Song-Chang Lin with:
Song-Chang Lin United States
Carlo Hojilla Canada
Elvira Olaso Spain
Colleen Wu United States
Richard Bachelier France
Antigone Sourla Greece
S Katsuda Japan
Sandrine Théoleyre France
Elisabeth A. Pedersen United States
Erik R. Sampson United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew R. Eber

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Eber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Eber. 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 Matthew R. Eber. The network helps show where Matthew R. Eber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003204
2 2014155
3 2016127
4 2016102
5 201574
6 201666
7 201258
8 201656
9 201137
10 201335
11 201431
12 201924
13 201823
14 201119
15 201817
16 202117
17 202113
18 20207
19 20175
20 19824

About Matthew R. Eber

Matthew R. Eber is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Molecular Biology and Cancer Research, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone health and treatments (8 papers), Hematopoietic Stem Cell Transplantation (5 papers), Cancer Diagnosis and Treatment (5 papers), Cancer Cells and Metastasis (4 papers), Prostate Cancer Treatment and Research (4 papers), Phagocytosis and Immune Regulation (3 papers), Mesenchymal stem cell research (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Oncology (614 citations), Cancer Research (275 citations), Immunology (180 citations), Orthopedics and Sports Medicine (58 citations) and Pulmonary and Respiratory Medicine (200 citations). Matthew R. Eber has collaborated with scholars based in United States, France and Mexico. Frequent co-authors include Yusuke Shiozawa, Russell S. Taichman, Janice E. Berry, Amy J. Koh, Laurie K. McCauley, Kenji Yumoto, Sun Hee Park, Payam Entezami, Serk In Park and Christopher M. Peters. Their work appears in journals such as Scientific Reports, Journal of Cellular Biochemistry, Clinical Cancer Research, Journal of Bone and Mineral Research and Atherosclerosis.

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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