Vytas P. Bindokas

1.5k citations
23 papers · 1.1k · h-index 16

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
  • Surgery top 10%
    • Pancreatic function and diabetes

Papers in

    • Lipid Membrane Structure and Behavior 4
    • Angiogenesis and VEGF in Cancer 3
    • Cellular transport and secretion 5
    • Endoplasmic Reticulum Stress and Disease 2

Vytas P. Bindokas

23 papers receiving 1.1k citations

Peers

Vytas P. Bindokas
Comparison fields: 5 of 89
  • Hepatology 84
  • Surgery 297
  • Endocrinology, Diabetes and Metabolism 107
  • Genetics 182
  • Molecular Biology 441
Replace David S. Cissel with:
David S. Cissel United States
Ren Xu United States
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Citations per field
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Citations per year

Countries citing papers authored by Vytas P. Bindokas

Since Specialization
Citations

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

Fields of papers citing papers by Vytas P. Bindokas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vytas P. Bindokas. 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 Vytas P. Bindokas. The network helps show where Vytas P. Bindokas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003267
2 2006164
3 2003107
4 201479
5 202072
6 201350
7 200749
8 201143
9 201340
10 202034
11 201134
12 200232
13 200428
14 200524
15 202324
16 201821
17 20238
18 20205
19 20054
20 20142

About Vytas P. Bindokas

Vytas P. Bindokas is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Oncology and Genetics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Lipid Membrane Structure and Behavior (4 papers), Liver physiology and pathology (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Immunotherapy and Immune Responses (3 papers), Photoreceptor and optogenetics research (3 papers), Diabetes and associated disorders (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Hepatology (84 citations), Surgery (297 citations), Endocrinology, Diabetes and Metabolism (107 citations), Genetics (182 citations) and Molecular Biology (441 citations). Vytas P. Bindokas has collaborated with scholars based in United States, Germany and Philippines. Frequent co-authors include Manami Hara, Graeme I. Bell, Sergio Y. Alcoser, Xiaoyu Wang, Mark A. Magnuson, Toshihiko Kawamura, Ravi Salgia, Ramasamy Jagadeeswaran, Sujatha Jagadeeswaran and Qing Li. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Cancer Immunology Research, Molecular Cancer Therapeutics, Microbiology and Journal of Molecular and Cellular Cardiology.

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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