Karen E. Ackermann

1.2k citations
23 papers · 1.1k · h-index 15

Impact in

    • Lipid metabolism and biosynthesis
    • Protein Kinase Regulation and GTPase Signaling
    • Lipid Membrane Structure and Behavior

Papers in

    • Aldose Reductase and Taurine 5
    • Protein Kinase Regulation and GTPase Signaling 6
    • Chemical Synthesis and Analysis 3
    • Glycosylation and Glycoproteins Research 2
    • Lipid Membrane Structure and Behavior 2

Karen E. Ackermann

23 papers receiving 999 citations

Peers

Karen E. Ackermann
Comparison fields: 5 of 71
  • Biochemistry 74
  • Molecular Biology 540
  • Physiology 33
  • Cell Biology 100
  • Clinical Biochemistry 33
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Richard A. Easom United States
Zhongmin Ma United States
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Hong‐Hua Miao China
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Citations per field
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Citations per year

Countries citing papers authored by Karen E. Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993199
2 1985136
3 1987113
4 201088
5 198675
6 201575
7 198562
8 198754
9 198954
10 198553
11 198550
12 198630
13 198622
14 198719
15 199816
16 198214
17 199413
18 199511
19 19916
20 19995

About Karen E. Ackermann

Karen E. Ackermann is a scholar working on Cell Biology, Molecular Biology, Clinical Biochemistry, Pharmacology and Organic Chemistry, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Aldose Reductase and Taurine (5 papers), Chemical Synthesis and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Advanced Glycation End Products research (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Biochemistry (74 citations), Molecular Biology (540 citations), Physiology (33 citations), Cell Biology (100 citations) and Clinical Biochemistry (33 citations). Karen E. Ackermann has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include William R. Sherman, Ana Maria Garcia, Michael P. Honchar, Israel Silman, M G Low, Anthony H. Futerman, Joseph R. Williamson, Charles Kilo, Katherine C. Chang and Edwin Rowold. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemical Journal, Journal of Mass Spectrometry, Diabetes and Journal of Clinical Investigation.

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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