Allen Ebens

4.4k citations
31 papers · 1.7k · h-index 16

Impact in

Papers in

Allen Ebens

29 papers receiving 1.6k citations

Peers

Allen Ebens
Comparison fields: 5 of 90
  • Developmental Neuroscience 171
  • Cellular and Molecular Neuroscience 456
  • Genetics 210
  • Hepatology 119
  • Hematology 157
Replace Josema Torres with:
Josema Torres Spain
Dongeun Park South Korea
Donald A. Bergstrom United States
Tracy M. Saxton Canada
Michiko Shirane Japan
Sheila Harroch France
David R. Kaplan United States
Béatrice Durand France
Takahiro Shirogane Japan
Tony Evans United States
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Citations per field
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Citations per year

Countries citing papers authored by Allen Ebens

Since Specialization
Citations

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

Fields of papers citing papers by Allen Ebens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996355
2 1990322
3 1993174
4 1989102
5 199899
6 198890
7 201272
8 199572
9 200463
10 201357
11 200853
12 201449
13 200944
14 201337
15 201520
16 201719
17 201814
18 20219
19 20138
20 20094

About Allen Ebens

Allen Ebens is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Pathology and Forensic Medicine and Hematology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), CAR-T cell therapy research (6 papers), Cancer Mechanisms and Therapy (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (3 papers) and Phytochemical compounds biological activities (3 papers). The work is most often cited by research in Developmental Neuroscience (171 citations), Cellular and Molecular Neuroscience (456 citations), Genetics (210 citations), Hepatology (119 citations) and Hematology (157 citations). Allen Ebens has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Tariq Enver, S Lawrence Zipursky, Thalia Papayannopoulou, Natacha Raich, Frank Costantini, Barbara A. Barres, Marc Tessier‐Lavigne, Katja Brose, Hideki Garren and Benjamin Cheyette. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Neuron, Bioorganic & Medicinal Chemistry Letters and Molecular Cancer Therapeutics.

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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