Glen E. Mieling

856 citations
22 papers · 678 · h-index 13

Impact in

Papers in

    • Peptidase Inhibition and Analysis 9
    • Bone health and treatments 5
    • Signaling Pathways in Disease 6
    • Biochemical and Structural Characterization 2

Glen E. Mieling

21 papers receiving 609 citations

Peers

Glen E. Mieling
Comparison fields: 5 of 97
  • Cancer Research 257
  • Oncology 259
  • Bioengineering 35
  • Electrochemistry 38
  • Organic Chemistry 162
Replace J A Slack with:
J A Slack United Kingdom
Hiroyuki Kubo Japan
Linda R. De Young United States
Ken Page United Kingdom
Yongchuan Gu New Zealand
Cristina Geroni Italy
Martin Christlieb United Kingdom
Miquel Duran‐Frigola Spain
Harold R. Almond United States
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Citations per field
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Citations per year

Countries citing papers authored by Glen E. Mieling

Since Specialization
Citations

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

Fields of papers citing papers by Glen E. Mieling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Glen E. Mieling, 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 Glen E. Mieling Line = papers co-authored together Glen E. Mieling 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 200084
2 197880
3 199976
4 199869
5 199868
6 200155
7 200147
8 200137
9 197628
10 200528
11 199826
12 197919
13 197814
14 200112
15 200311
16 19737
17 19776
18 20005
19
Modeling of bisphosphonate binding to farnesyl diphosphate synthase
20023
20 20022

About Glen E. Mieling

Glen E. Mieling is a scholar working on Oncology, Molecular Biology, Cancer Research, Organic Chemistry and Pharmacology, having authored 22 papers that have together received 678 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Protease and Inhibitor Mechanisms (8 papers), Signaling Pathways in Disease (6 papers), Bone health and treatments (5 papers), Organophosphorus compounds synthesis (3 papers), Traditional and Medicinal Uses of Annonaceae (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Cancer Research (257 citations), Oncology (259 citations), Bioengineering (35 citations), Electrochemistry (38 citations) and Organic Chemistry (162 citations). Glen E. Mieling has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Harry L. Pardue, Biswanath De, Neil G. Almstead, Michael G. Natchus, Yetunde O. Taiwo, Stanisław Pikul, Fei Gu, C. Michelle Dunaway, Michael J. Janusz and Catherine E. Snider. Their work appears in journals such as Journal of Medicinal Chemistry, Clinical Chemistry, Analytical Chemistry, Bioorganic & Medicinal Chemistry Letters and Synthesis.

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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