Jane M. Quirk

3.6k citations
31 papers · 2.5k indexed · h-index 23

Impact in

Papers in

Jane M. Quirk

31 papers receiving 2.4k citations

Peers

Jane M. Quirk
Comparison fields: 5 of 85
  • Physiology 2.0k
  • Cell Biology 563
  • Rheumatology 469
  • Physiology 113
  • Organic Chemistry 618
Replace Andrew E. Gal with:
Andrew E. Gal United States
Kazuko Sukegawa Japan
Amparo Chabás Spain
Paola Di Natale Italy
Norio Sakai Japan
Yoshiyuki Suzuki Japan
Jerry N. Thompson United States
Manisha Balwani United States
Randall A. Heidenreich United States
Peter R. Clements Australia
Jane M. Quirk relative to Andrew E. Gal United States Andrew E. Gal's profile →
Citations per field
00.5×3.1×
Andrew E. Gal · 1×
Citations per year

Countries citing papers authored by Jane M. Quirk

Since Specialization
Citations

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

Fields of papers citing papers by Jane M. Quirk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200810
2 2008194
3 200836
4 200740
5 200635
6 2005155
7 200210
8 2002352
9 200290
10 200077
11 199522
12 1987159
13
Animal and cellular models of Gaucher's disease. I. Refractoriness of thio analogs of glucocerebroside to enzymatic hydrolysis.
19861
14 19862
15 198011
16 19767
17 1974104
18 1973224
19 197213
20 197057

About Jane M. Quirk

Jane M. Quirk is a scholar working on Physiology, Organic Chemistry, Rheumatology, Physiology and Cell Biology, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (28 papers), Carbohydrate Chemistry and Synthesis (16 papers), Glycosylation and Glycoproteins Research (7 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Trypanosoma species research and implications (6 papers), Biomedical Research and Pathophysiology (4 papers), Cellular transport and secretion (4 papers) and Retinal Development and Disorders (4 papers). The work is most often cited by research in Physiology (2.0k citations), Cell Biology (563 citations), Rheumatology (469 citations), Physiology (113 citations) and Organic Chemistry (618 citations). Jane M. Quirk has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Roscoe O. Brady, Gary J. Murray, Raphael Schiffmann, Andrew E. Gal, John F. Tallman, Toshio Ohshima, Ashok B. Kulkarni, Roscoe O. Brady, Jeffrey B. Kopp and David F. Moore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular Genetics and Metabolism, Biochemical and Biophysical Research Communications and Gene.

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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