Ami A. Deora

1.0k citations
10 papers · 836 · h-index 9

Impact in

    • Cellular transport and secretion
    • Lipid Membrane Structure and Behavior
    • Retinal Development and Disorders
    • Signaling Pathways in Disease
    • Ion Transport and Channel Regulation

Papers in

    • Ion Transport and Channel Regulation 3
    • Signaling Pathways in Disease 2
    • Lipid Membrane Structure and Behavior 2
    • Cellular transport and secretion 3

Ami A. Deora

10 papers receiving 820 citations

Peers

Ami A. Deora
Comparison fields: 5 of 78
  • Cell Biology 310
  • Molecular Biology 587
  • Physiology 166
  • Aging 11
  • Clinical Biochemistry 40
Replace Viviana Anelli with:
Viviana Anelli Italy
Deborah Wallace Ireland
Valérie Race Belgium
Gábor Sirokmány Hungary
Ruhee Dere United States
Maria Kontogiannea Canada
Sharon F. Suchy United States
Sunandini Sridhar United States
Brian Niland United States
А. Г. Бабич Germany
Ami A. Deora relative to Viviana Anelli Italy Viviana Anelli's profile →
Citations per field
00.5×1.5×1.8×
Viviana Anelli · 1×
Citations per year

Countries citing papers authored by Ami A. Deora

Since Specialization
Citations

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

Fields of papers citing papers by Ami A. Deora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ami A. Deora. 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 Ami A. Deora. The network helps show where Ami A. Deora may publish in the future.

Co-authors

The 23 scholars most cited alongside Ami A. Deora, 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 Ami A. Deora Line = papers co-authored together Ami A. Deora links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2008171
2 1998154
3 2005125
4 2007124
5 200075
6 200463
7 200959
8 201039
9 200725
10
Monocarboxylate Transporter (MCT) and CD147 Interacting Domains Necessary for Functional Heterodimeric MCT Complex
20071

About Ami A. Deora

Ami A. Deora is a scholar working on Molecular Biology, Cell Biology, Surgery, Physiology and Immunology, having authored 10 papers that have together received 836 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Cellular transport and secretion (3 papers), Ion Transport and Channel Regulation (3 papers), Signaling Pathways in Disease (2 papers), Lipid Membrane Structure and Behavior (2 papers), Nitric Oxide and Endothelin Effects (2 papers), interferon and immune responses (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cell Biology (310 citations), Molecular Biology (587 citations), Physiology (166 citations), Aging (11 citations) and Clinical Biochemistry (40 citations). Ami A. Deora has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Enrique Rodríguez-Boulan, Harry M. Lander, Ryan Schreiner, Diego Gravotta, Emilie Perret, Bart Vanhaesebroeck, Dean Bok, Jane Hu, Nancy J. Philp and Sylvie Deborde. Their work appears in journals such as Proceedings of the National Academy of Sciences, Traffic, Molecular Biology of the Cell, Investigative Ophthalmology & Visual Science and Nature.

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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