Benjamin E. Johnson

981 citations
8 papers · 825 · h-index 6

Impact in

Papers in

Benjamin E. Johnson

7 papers receiving 796 citations

Peers

Benjamin E. Johnson
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 539
  • Developmental Neuroscience 86
  • Cognitive Neuroscience 258
  • Neurology 85
  • Biological Psychiatry 22
Replace Ezekiel P. Carpenter‐Hyland with:
Ezekiel P. Carpenter‐Hyland United States
Tian-Ming Gao United States
Arielle Ferrandon France
Guoyun Zhu United States
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Benjamin E. Johnson relative to Ezekiel P. Carpenter‐Hyland United States Ezekiel P. Carpenter‐Hyland's profile →
Citations per field
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Citations per year

Countries citing papers authored by Benjamin E. Johnson

Since Specialization
Citations

This map shows the geographic impact of Benjamin E. Johnson'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. Johnson 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. Johnson more than expected).

Fields of papers citing papers by Benjamin E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2004583
2 199571
3
The p16 status of tumor cell lines identifies small molecule inhibitors specific for cyclin-dependent kinase 4.
199960
4 200351
5
Molecular genetic characterization of neuroendocrine lung cancer cell lines.
199545
6 202213
7
Chromosomal deletion, gene amplification, alternative processing, and autocrine growth factor production in the pathogenesis of human lung cancer.
19862
8 20220

About Benjamin E. Johnson

Benjamin E. Johnson is a scholar working on Oncology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Cancer Research, having authored 8 papers that have together received 825 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Lung Cancer Research Studies (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA modifications and cancer (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (539 citations), Developmental Neuroscience (86 citations), Cognitive Neuroscience (258 citations), Neurology (85 citations) and Biological Psychiatry (22 citations). Benjamin E. Johnson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Elek Molnár, Yves P. Auberson, Malcolm Watson Brown, Zafar Iqbal Bashir, Peter V. Massey, Graham L. Collingridge, Peter R. Moult, Michael J. Kelley, Kazuhiko Nakagawa and James L. Mulshine. Their work appears in journals such as Annals of Surgical Oncology, Molecular and Cellular Neuroscience, JNCI Journal of the National Cancer Institute, Journal of Neuroscience and PubMed.

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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