Sheena Abraham

22 papers receiving 760 citations

Peers

Sheena Abraham
Comparison fields: 5 of 97
  • Virology 120
  • Molecular Medicine 51
  • Immunology 202
  • Microbiology 37
  • Radiology, Nuclear Medicine and Imaging 117
Replace Akihisa Otaka with:
Akihisa Otaka Japan
Jeisa M. Pelet United States
Annemie Rehor Switzerland
Malgorzata Garstka China
Jason Y.H. Chang United States
Lawrence D. McGill United States
Christien Oussoren Netherlands
Peter C. DeMuth United States
Biliang Hu United States
Julien Vollaire France
Sheena Abraham relative to Akihisa Otaka Japan Akihisa Otaka's profile →
Citations per field
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Akihisa Otaka · 1×
Citations per year

Countries citing papers authored by Sheena Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Sheena Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheena Abraham, 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 Sheena Abraham Line = papers co-authored together Sheena Abraham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005159
2 1992147
3 199269
4 201464
5 199262
6 200961
7 199247
8 201036
9 201225
10 201020
11 200919
12 200913
13 201011
14 199510
15 20059
16 20178
17 20225
18 20073
19 20133
20 20171

About Sheena Abraham

Sheena Abraham is a scholar working on Molecular Biology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery and Immunology, having authored 22 papers that have together received 774 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), 3D Printing in Biomedical Research (4 papers), Polymer Surface Interaction Studies (3 papers), T-cell and B-cell Immunology (3 papers), Bone Tissue Engineering Materials (3 papers) and Biomedical Ethics and Regulation (2 papers). The work is most often cited by research in Virology (120 citations), Molecular Medicine (51 citations), Immunology (202 citations), Microbiology (37 citations) and Radiology, Nuclear Medicine and Imaging (117 citations). Sheena Abraham has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Linda K. Clayton, Ellis L. Reinherz, Sean Brahim, Anthony Guiseppi‐Elie, Kazuhíko Ishihara, Ulrich Moebius, Stephen C. Harrison, Raj R. Rao, Shigeo Koyasu and Juan J. Yunis. Their work appears in journals such as The Journal of Experimental Medicine, Biochemical and Biophysical Research Communications, Human Reproduction, Biomacromolecules and Proceedings of the National Academy of Sciences.

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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