E.M. Quistgaard

2.3k citations
30 papers · 1.7k indexed · 1 hit paper · h-index 18

E.M. Quistgaard

30 papers receiving 1.7k citations

Hit Papers

Understanding transport by the major facilitator superfam...3352016202620192022100200300

Peers

E.M. Quistgaard
Comparison fields: 5 of 100
  • Agronomy and Crop Science 181
  • Biochemistry 117
  • Plant Science 582
  • Molecular Medicine 69
  • Molecular Biology 789
Replace Giselle M. Knudsen with:
Giselle M. Knudsen United States
Len Hall United Kingdom
Ian M. Willis United States
Cristina Chiva Spain
Norihiro Azuma Japan
Yue Xu China
José Antonio Márquez France
Lei Zheng United States
E.M. Quistgaard relative to Giselle M. Knudsen United States Giselle M. Knudsen's profile →
Citations per field
00.5×6.7×
Giselle M. Knudsen · 1×
Citations per year

Countries citing papers authored by E.M. Quistgaard

Since Specialization
Citations

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

Fields of papers citing papers by E.M. Quistgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 202140
3 20218
4 20215
5 201944
6 201852
7 201723
8 201718
9
Understanding transport by the major facilitator superfamily (MFS): structures pave the waybreakdown →
2016335
10 201624
11 201411
12 201468
13 201321
14 201316
15 20136
16 201377
17 20122
18 200932
19 2007260
20 2006256

About E.M. Quistgaard

E.M. Quistgaard is a scholar working on Biochemistry, Physiology, Cell Biology, Molecular Biology and Reproductive Medicine, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Amino Acid Enzymes and Metabolism (7 papers), Protein Structure and Dynamics (7 papers), Drug Transport and Resistance Mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (4 papers), ATP Synthase and ATPases Research (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Agronomy and Crop Science (181 citations), Biochemistry (117 citations), Plant Science (582 citations), Molecular Medicine (69 citations) and Molecular Biology (789 citations). E.M. Quistgaard has collaborated with scholars based in Sweden, Denmark and Singapore. Frequent co-authors include Christian Löw, P. Nordlund, Fatma Guettou, Søren Thirup, Per Moberg, Lene H. Madsen, Euan K. James, Simona Radutoiu, Jens Stougaard and L. Tresaugues. Their work appears in journals such as PLoS ONE, Nature Structural & Molecular Biology, Structure, Journal of Molecular Biology and Journal of the American Chemical Society.

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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