S. Pind

21 papers receiving 2.2k citations

Hit Papers

Multiple proteolytic systems, including the proteasome, contribute to CFTR processing 1995 · 749 citations
7490+10+20Years since publication200400600

Peers

S. Pind
Comparison fields: 5 of 91
  • Cell Biology 1.1k
  • Physiology 112
  • Molecular Biology 1.3k
  • Biochemistry 113
  • Pulmonary and Respiratory Medicine 453
Replace Maho Niwa with:
Maho Niwa United States
Simone Wattiaux‐De Coninck Belgium
Mitsushi Inomata Japan
Kathryn M. John United States
Christopher C. Widnell United States
Darren M. Hutt United States
Bernadette Breiden Germany
Hideaki Morishita Japan
C B Hirschberg United States
Ida Chiara Guerrera France
S. Pind relative to Maho Niwa United States Maho Niwa's profile →
Citations per field
00.5×3.9×
Maho Niwa · 1×
Citations per year

Countries citing papers authored by S. Pind

Since Specialization
Citations

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

Fields of papers citing papers by S. Pind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Pind, 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 S. Pind Line = papers co-authored together S. Pind 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
Multiple proteolytic systems, including the proteasome, contribute to CFTR processing
Hit paper breakdown →
1995749
2 1991344
3 1994298
4 1994137
5 1990116
6 198997
7 198988
8 199475
9 200850
10 200236
11 198736
12 198434
13 198831
14 199129
15 200620
16 198918
17 198513
18 199211
19 20128
20 19886

About S. Pind

S. Pind is a scholar working on Molecular Biology, Cell Biology, Surgery, Nutrition and Dietetics and Genetics, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (5 papers), Biomedical Research and Pathophysiology (3 papers), Metabolism and Genetic Disorders (2 papers), Cystic Fibrosis Research Advances (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cell Biology (1.1k citations), Physiology (112 citations), Molecular Biology (1.3k citations), Biochemistry (113 citations) and Pulmonary and Respiratory Medicine (453 citations). S. Pind has collaborated with scholars based in Canada and United States. Frequent co-authors include Alfred L. Goldberg, Melinda A. Loo, David B. Williams, Timothy J. Jensen, John R. Riordan, A. Kuksis, William E. Balch, J.R. Riordan, Donald B. Williams and Helen Plutner. Their work appears in journals such as The Journal of Cell Biology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology and The EMBO Journal.

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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