Barbara E. Tanos

1.7k citations
30 papers · 909 · h-index 13

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
  • Genetics top 10%
    • Genetic and Kidney Cyst Diseases

Papers in

    • Cellular transport and secretion 4
    • Microtubule and mitosis dynamics 2
    • Barrier Structure and Function Studies 3

Barbara E. Tanos

24 papers receiving 892 citations

Peers

Barbara E. Tanos
Comparison fields: 5 of 66
  • Cell Biology 162
  • Genetics 258
  • Immunology and Allergy 23
  • Hematology 58
  • Biophysics 30
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Citations per year

Countries citing papers authored by Barbara E. Tanos

Since Specialization
Citations

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

Fields of papers citing papers by Barbara E. Tanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018150
2 2008145
3 201893
4 200685
5 201476
6 202066
7 201961
8 200954
9 201646
10 201825
11 201623
12 200721
13 201520
14 20259
15 19527
16 19595
17 20065
18 19534
19
The histamine content of granulocytes, as a possible characteristic of myelocytic leukaemia.
19533
20
Increase of venous oxygen saturation after a high salicylate dose in human adults.
19582

About Barbara E. Tanos

Barbara E. Tanos is a scholar working on Cell Biology, Neurology, Genetics, Oncology and Critical Care and Intensive Care Medicine, having authored 30 papers that have together received 909 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (5 papers), Cellular transport and secretion (4 papers), Barrier Structure and Function Studies (3 papers), Mast cells and histamine (3 papers), Adrenal Hormones and Disorders (3 papers), HER2/EGFR in Cancer Research (3 papers), Microtubule and mitosis dynamics (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Cell Biology (162 citations), Genetics (258 citations), Immunology and Allergy (23 citations), Hematology (58 citations) and Biophysics (30 citations). Barbara E. Tanos has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include E Rodriguez-Boulan, Ann Marie Pendergast, T. Tony Yang, Jung‐Chi Liao, Won‐Jing Wang, Endre Kelemen, Meng-Fu Bryan Tsou, Wann‐Neng Jane, Weng Man Chong and Gregory Mazo. Their work appears in journals such as Nature Communications, Oncogene, Cell Reports, Acta Haematologica and Cellular and Molecular Life 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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