Benjamin E. Low

1.4k citations
43 papers · 963 · h-index 15

Impact in

    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction

Papers in

    • CRISPR and Genetic Engineering 8
    • Pluripotent Stem Cells Research 3
    • Protein purification and stability 2
    • Skin and Cellular Biology Research 5

Benjamin E. Low

42 papers receiving 939 citations

Peers

Benjamin E. Low
Comparison fields: 5 of 91
  • Oncology 208
  • Immunology 145
  • Genetics 59
  • Gastroenterology 29
  • Hepatology 40
Replace Hiroo Ueno with:
Hiroo Ueno Japan
Åsa Kolterud Sweden
Valeriu Bogdan Cismasiu Romania
Jordi Guiu Spain
Matthew R. LeBoeuf United States
Minke E. Binnerts Netherlands
Martti Maimets Denmark
Amédée Renand France
Rémi J. Creusot United States
Atsushi Nonami Japan
Benjamin E. Low relative to Hiroo Ueno Japan Hiroo Ueno's profile →
Citations per field
00.5×2×2.5×
Hiroo Ueno · 1×
Citations per year

Countries citing papers authored by Benjamin E. Low

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin E. Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin E. Low. 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 Benjamin E. Low. The network helps show where Benjamin E. Low may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018145
2 2018140
3 2008131
4 201572
5 202152
6 201840
7 202235
8 201831
9 201630
10 202025
11 201719
12 201419
13 201818
14 201816
15 201616
16 202215
17 201714
18 202014
19 201612
20 201312

About Benjamin E. Low

Benjamin E. Low is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 963 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Skin and Cellular Biology Research (5 papers), Animal Genetics and Reproduction (4 papers), Pluripotent Stem Cells Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Virus-based gene therapy research (3 papers), Protein purification and stability (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Oncology (208 citations), Immunology (145 citations), Genetics (59 citations), Gastroenterology (29 citations) and Hepatology (40 citations). Benjamin E. Low has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael V. Wiles, Leonard D. Shultz, Vishnu Hosur, Lisa M. Burzenski, Kurinchi Selvan Gurusamy, Yemisi Takwoingi, Akash Gandhi, Mohammad Yaghoobi, Lawrence MJ Best and Kyuson Yun. Their work appears in journals such as The FASEB Journal, PLoS ONE, Cancer Research, Journal of Investigative Dermatology and eLife.

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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