Berridge Mj is a scholar working on Surgery, Molecular Biology and Cellular and Molecular Neuroscience.
According to data from OpenAlex, Berridge Mj has authored 11 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Berridge Mj's work include Neurobiology and Insect Physiology Research (1 paper), Pancreatic function and diabetes (1 paper) and Insect Utilization and Effects (1 paper). Berridge Mj is often cited by papers focused on Neurobiology and Insect Physiology Research (1 paper), Pancreatic function and diabetes (1 paper) and Insect Utilization and Effects (1 paper). Berridge Mj collaborates with scholars based in United Kingdom and United States. Berridge Mj's co-authors include Christian Sardet, Roberto Gualtieri and Ap Thomas and has published in prestigious journals such as The Journal of Physiology, Data Archiving and Networked Services (DANS) and PubMed.
In The Last Decade
Berridge Mj
10 papers
receiving
408 citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Berridge Mj'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 Berridge Mj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berridge Mj more than expected).
This network shows the impact of papers produced by Berridge Mj. 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 Berridge Mj. The network helps show where Berridge Mj may publish in the future.
Co-authorship network of co-authors of Berridge Mj
This figure shows the co-authorship network connecting the top 25 collaborators of Berridge Mj.
A scholar is included among the top collaborators of Berridge Mj 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 Berridge Mj. Berridge Mj is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
11 of 11 papers shown
1.
Sardet, Christian, et al.. (1995). CALCIUM SIGNALING AND LOCALIZATION OF ENDOPLASMIC-RETICULUM IN ASCIDIAN EMBRYOS. Data Archiving and Networked Services (DANS). 188. 141–145.3 indexed citations
2.
Mj, Berridge. (1992). Discovery of the InsP3-Ca2+ pathway. A personal reflection.. PubMed. 26. 1–7.3 indexed citations
Mj, Berridge. (1986). Ernst Klenk Lecture, November 1985. Intracellular signalling through inositol trisphosphate and diacylglycerol.. PubMed. 367(6). 447–56.22 indexed citations
Mj, Berridge, et al.. (1977). Electron microprobe studies of electrolyte distribution in fluid transporting epithelia [proceedings].. The Journal of Physiology. 266(1). 32P–33P.
Mj, Berridge, et al.. (1972). The role of cyclic AMP in the control of fluid secretion.. PubMed. 1. 137–47.12 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.