E. Sidebottom

517 citations
18 papers · 421 indexed · h-index 11

E. Sidebottom

14 papers receiving 373 citations

Peers

E. Sidebottom
Comparison fields: 5 of 78
  • Molecular Biology 279
  • Cellular and Molecular Neuroscience 53
  • Cell Biology 47
  • Cancer Research 37
  • Biotechnology 18
Replace James Farris with:
James Farris United States
H Green United States
Laurence J. McIntyre United States
C. Jaworski United States
Yoshiko Kawasaki Japan
Sylvia A. Norman United States
Nicole M. Kühl Germany
Katarina Gell Sweden
Hanna Jaaro Israel
Denis Barritault France
E. Sidebottom relative to James Farris United States James Farris's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by E. Sidebottom

Since Specialization
Citations

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

Fields of papers citing papers by E. Sidebottom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside E. Sidebottom, 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 E. Sidebottom Line = papers co-authored together E. Sidebottom links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
The Christ of the fourth Gospel in the light of first-century thought.
20100
2 200012
3 198710
4 198630
5 198539
6
Selection of metastatic variants on the basis of clonal morphology in vitro.
19845
7 19845
8 198338
9 198013
10 198011
11 197728
12 19767
13 19761
14 197235
15 1969138
16 196945
17
The Christ of the Fourth Gospel
19613
18 19571

About E. Sidebottom

E. Sidebottom is a scholar working on Religious studies, Radiology, Nuclear Medicine and Imaging, Biophysics, Immunology and Allergy and Molecular Biology, having authored 18 papers that have together received 421 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), DNA and Nucleic Acid Chemistry (3 papers), Biblical Studies and Interpretation (3 papers), RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers), Historical and Linguistic Studies (2 papers), RNA modifications and cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Molecular Biology (279 citations), Cellular and Molecular Neuroscience (53 citations), Cell Biology (47 citations), Cancer Research (37 citations) and Biotechnology (18 citations). E. Sidebottom has collaborated with scholars based in United Kingdom, Sweden and Canada. Frequent co-authors include H. Harris, Daniel Grace, M. E. Bramwell, A. Claudio Cuello, F. M. Semenenko, Ilan I. Deåk, T. Ege, Nils R. Ringertz, Menek Goldstein and Fiona M. Watt. Their work appears in journals such as Journal of Cell Science, British Journal of Cancer, The Expository Times, Journal of Histochemistry & Cytochemistry and BDJ.

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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