Anna M. Castle

1.5k citations
32 papers · 1.2k · h-index 20

Impact in

    • Cellular transport and secretion
  • Physiology top 10%
    • Salivary Gland Disorders and Functions
    • Erythrocyte Function and Pathophysiology

Papers in

    • Glycosylation and Glycoproteins Research 10
    • Lipid Membrane Structure and Behavior 7
    • Cellular transport and secretion 15
    • Proteoglycans and glycosaminoglycans research 4

Anna M. Castle

31 papers receiving 1.2k citations

Peers

Anna M. Castle
Comparison fields: 5 of 103
  • Cell Biology 433
  • Physiology 262
  • Molecular Biology 709
  • Physiology 35
  • Genetics 186
Replace T. E. Ukena with:
T. E. Ukena United States
Rajesh Ghai Australia
Hiroshi Kanazawa Japan
Ferenc Orosz Hungary
Carla V. Finkielstein United States
Mitsushi Inomata Japan
Klaus Buchner Germany
Susan M. Knobel United States
Carolyn K. Suzuki United States
Ralph SCHALOSKE Germany
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Citations per field
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T. E. Ukena · 1×
Citations per year

Countries citing papers authored by Anna M. Castle

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Castle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Castle. 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 Anna M. Castle. The network helps show where Anna M. Castle may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna M. Castle, 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 Anna M. Castle Line = papers co-authored together Anna M. Castle 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 2010126
2 198299
3 199892
4 198676
5 198668
6 200561
7 200953
8 200553
9 199651
10 199751
11 200250
12 200146
13 200246
14 198741
15 199237
16 199337
17 198935
18 199132
19 201824
20 200824

About Anna M. Castle

Anna M. Castle is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Surgery, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (15 papers), Glycosylation and Glycoproteins Research (10 papers), Lipid Membrane Structure and Behavior (7 papers), Salivary Gland Disorders and Functions (6 papers), Connective tissue disorders research (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Cell Biology (433 citations), Physiology (262 citations), Molecular Biology (709 citations), Physiology (35 citations) and Genetics (186 citations). Anna M. Castle has collaborated with scholars based in United States, Japan and Ukraine. Frequent co-authors include J. David Castle, David Castle, Robert M. Macnab, Amy Y. Huang, R. G. Shulman, Joan L. Slonczewski, Jeffry R. Alger, Lixia Liu, Carmella Evans‐Molina and John S. Parks. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Journal of Cell Science, Critical Reviews in Oral Biology & Medicine and American Journal of Physiology-Cell Physiology.

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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