E. Tapp

30 papers receiving 483 citations

Peers

E. Tapp
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 128
  • Hepatology 70
  • Genetics 62
  • Cellular and Molecular Neuroscience 106
  • Epidemiology 116
Replace JuliaM. Polak with:
JuliaM. Polak United Kingdom
H. Huntley Hardison United States
Yoshihiro Ueda Japan
Nathalie Coutry France
Pei Zhou China
A. Barreca Italy
Surya Gupta United States
Jennifer Gile United States
M. Hayashi Japan
Deena Parghi United States
E. Tapp relative to JuliaM. Polak United Kingdom JuliaM. Polak's profile →
Citations per field
00.5×3.5×
JuliaM. Polak · 1×
Citations per year

Countries citing papers authored by E. Tapp

Since Specialization
Citations

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

Fields of papers citing papers by E. Tapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside E. Tapp, 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. Tapp Line = papers co-authored together E. Tapp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972137
2 197558
3 197946
4 197433
5 197133
6 196929
7 197022
8 198019
9
Evidence Embalmed : Modern Medicine and the Mummies of Ancient Egypt
198418
10
The parenchymal cells of the rat pineal gland.
197016
11 196913
12
Measurements of pineal parenchymal cells and their nuclei in the albino rat at different ages.
197013
13 197512
14 196612
15 197710
16 197610
17 19699
18 19808
19 19808
20 19786

About E. Tapp

E. Tapp is a scholar working on Epidemiology, Hepatology, Molecular Biology, Oncology and Surgery, having authored 32 papers that have together received 547 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (4 papers), Glioma Diagnosis and Treatment (3 papers), Adipose Tissue and Metabolism (2 papers), Bone health and treatments (2 papers), Medical Imaging and Pathology Studies (1 paper) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (128 citations), Hepatology (70 citations), Genetics (62 citations), Cellular and Molecular Neuroscience (106 citations) and Epidemiology (116 citations). E. Tapp has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter J. Scheuer, I W Dymock, D. M. Jones, A. Rosalie David, I.L. Woolf, D. W. Dawson, J S Whittaker, Barry E. Boyes, P. H. Renton and R. N. M. MacSween. Their work appears in journals such as Journal of Clinical Pathology, The Journal of Pathology, Journal of Neural Transmission, The Lancet and British Journal of Cancer.

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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