B. E. Johnson

964 total citations · 1 hit paper
8 papers, 796 citations indexed

About

B. E. Johnson is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, B. E. Johnson has authored 8 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Molecular Biology. Recurrent topics in B. E. Johnson's work include Lung Cancer Research Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers) and Neural dynamics and brain function (2 papers). B. E. Johnson is often cited by papers focused on Lung Cancer Research Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers) and Neural dynamics and brain function (2 papers). B. E. Johnson collaborates with scholars based in United States, United Kingdom and Cyprus. B. E. Johnson's co-authors include Elek Molnár, Yves P. Auberson, Peter V. Massey, Malcolm W. Brown, Zafar I. Bashir, Graham L. Collingridge, Peter R. Moult, Michael J. Kelley, Kazuhiko Nakagawa and James L. Mulshine and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and JNCI Journal of the National Cancer Institute.

In The Last Decade

B. E. Johnson

8 papers receiving 780 citations

Hit Papers

Differential Roles of NR2A and NR2B-Containing NMDA Recep... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. E. Johnson United States 6 541 327 269 100 88 8 796
Catherine Videau France 18 508 0.9× 369 1.1× 113 0.4× 103 1.0× 82 0.9× 34 1.2k
Ezekiel P. Carpenter‐Hyland United States 11 615 1.1× 429 1.3× 231 0.9× 70 0.7× 102 1.2× 14 929
Tian-Ming Gao United States 13 559 1.0× 437 1.3× 148 0.6× 115 1.1× 122 1.4× 14 882
Robert Waltereit Germany 13 370 0.7× 464 1.4× 189 0.7× 115 1.1× 69 0.8× 28 960
Douglas W. Sapp United States 18 959 1.8× 722 2.2× 164 0.6× 134 1.3× 146 1.7× 21 1.5k
Steven Bunch United Kingdom 12 763 1.4× 414 1.3× 553 2.1× 26 0.3× 108 1.2× 17 1.3k
Chia-Ho Lin Taiwan 9 317 0.6× 362 1.1× 148 0.6× 23 0.2× 133 1.5× 13 792
Patrick N. McCormick Canada 15 515 1.0× 418 1.3× 82 0.3× 99 1.0× 108 1.2× 22 978
Arielle Ferrandon France 20 732 1.4× 248 0.8× 147 0.5× 47 0.5× 84 1.0× 32 997

Countries citing papers authored by B. E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by B. E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. E. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of B. E. Johnson. A scholar is included among the top collaborators of B. E. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B. E. Johnson. B. E. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Nakanishi, Hayato, et al.. (2022). Open Versus Laparoscopic Surgery in the Management of Adrenocortical Carcinoma: A Systematic Review and Meta-analysis. Annals of Surgical Oncology. 30(2). 994–1005. 11 indexed citations
2.
Ortiz, Taylor M., Victoria A. Joshi, Mohit Butaney, et al.. (2011). The introduction of systematic genomic testing for patients with non-small cell lung cancer (NSCLC) at Dana-Farber Cancer Institute (DFCI).. Journal of Clinical Oncology. 29(15_suppl). 7517–7517. 4 indexed citations
3.
Massey, Peter V., B. E. Johnson, Peter R. Moult, et al.. (2004). Differential Roles of NR2A and NR2B-Containing NMDA Receptors in Cortical Long-Term Potentiation and Long-Term Depression. Journal of Neuroscience. 24(36). 7821–7828. 566 indexed citations breakdown →
4.
Lauri, Sari E., Karri Lämsä, Ivan Pavlov, et al.. (2003). Activity blockade increases the number of functional synapses in the hippocampus of newborn rats. Molecular and Cellular Neuroscience. 22(1). 107–117. 50 indexed citations
5.
Kubo, Akihito, Kazuhiko Nakagawa, Ravi K. Varma, et al.. (1999). The p16 status of tumor cell lines identifies small molecule inhibitors specific for cyclin-dependent kinase 4.. PubMed. 5(12). 4279–86. 56 indexed citations
6.
Kelley, Michael J., et al.. (1995). Differential Inactivation of CDKN2 and Rb Protein in Non--Small-Cell and Small-Cell Lung Cancer Cell Lines. JNCI Journal of the National Cancer Institute. 87(10). 756–761. 66 indexed citations
7.
Brauch, Hiltrud, Tor Knutsen, B. E. Johnson, et al.. (1995). Molecular genetic characterization of neuroendocrine lung cancer cell lines.. PubMed. 15(2). 225–32. 41 indexed citations
8.
Minna, John D., M. J. Birrer, Burke J. Brooks, et al.. (1986). Chromosomal deletion, gene amplification, alternative processing, and autocrine growth factor production in the pathogenesis of human lung cancer.. PubMed. 17. 109–22. 2 indexed citations

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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