Ewart G. Bertram

1.2k total citations
9 papers, 146 citations indexed

About

Ewart G. Bertram is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Ewart G. Bertram has authored 9 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Pharmacology. Recurrent topics in Ewart G. Bertram's work include interferon and immune responses (1 paper), Herpesvirus Infections and Treatments (1 paper) and Biological Stains and Phytochemicals (1 paper). Ewart G. Bertram is often cited by papers focused on interferon and immune responses (1 paper), Herpesvirus Infections and Treatments (1 paper) and Biological Stains and Phytochemicals (1 paper). Ewart G. Bertram collaborates with scholars based in United States, Sweden and Germany. Ewart G. Bertram's co-authors include Murray L. Barr, Lena Öhman, Magnus Doverskog, Roland Sennerstam, Lena Häggström, Keith L. Moore, U. Neumann, H.P. Rohr, E. F. Kaleta and Isabel M. Gimeno and has published in prestigious journals such as Biotechnology Progress, PubMed and Williams & Wilkins eBooks.

In The Last Decade

Ewart G. Bertram

8 papers receiving 128 citations

Peers

Ewart G. Bertram
Comparison fields: 5 of 61
  • Molecular Biology 78
  • Cellular and Molecular Neuroscience 30
  • Genetics 19
  • Epidemiology 11
  • Neurology 10
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Citations per field, relative to Ewart G. Bertram
Ewart G. Bertram · 1×
Citations per year, relative to Ewart G. Bertram
Ewart G. Bertram · 1×

Countries citing papers authored by Ewart G. Bertram

Since Specialization
Citations

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

Fields of papers citing papers by Ewart G. Bertram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewart G. Bertram. 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 Ewart G. Bertram. The network helps show where Ewart G. Bertram may publish in the future.

Co-authorship network of co-authors of Ewart G. Bertram

This figure shows the co-authorship network connecting the top 25 collaborators of Ewart G. Bertram. A scholar is included among the top collaborators of Ewart G. Bertram 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 Ewart G. Bertram. Ewart G. Bertram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 29
2
Evidence for Marek's disease in turkeys in Germany: detection of MDV-1 using the polymerase chain reaction.
12
3
An atlas of the human brain and spinal cord
5
4
[Reaction of the liver cells to surgical intervention in obstructive jaundice. Electron microscopic-morphometric studies of the rat liver].
0
5
[Electron microscopic and morphometric studies of the proximal tubul cells of the rat kidney following estrogen administration. Contribution on the importance of morphometry in experimental pathology].
3
6 7
7 2
8 16
9
The behaviour of nuclear structures during depletion and restoration of Nissl material in motor neurons.
72

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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