William Loging

1.4k citations
22 papers · 1.0k · h-index 16

Impact in

Papers in

    • Bioinformatics and Genomic Networks 5
    • Receptor Mechanisms and Signaling 4
    • Metabolomics and Mass Spectrometry Studies 3
    • RNA modifications and cancer 3
    • Cancer-related Molecular Pathways 4

William Loging

21 papers receiving 969 citations

Peers

William Loging
Comparison fields: 5 of 91
  • Computational Theory and Mathematics 362
  • Pharmacology 100
  • Molecular Biology 547
  • Cancer Research 93
  • Oncology 162
Replace Ramona Curpăn with:
Ramona Curpăn Romania
Krishna C. Bulusu United Kingdom
Ted W. Johnson United States
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Edna F. Choo United States
Noriyuki Nakatsu Japan
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Anthony E. Klon United States
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Citations per field
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Citations per year

Countries citing papers authored by William Loging

Since Specialization
Citations

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

Fields of papers citing papers by William Loging

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Loging, 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 William Loging Line = papers co-authored together William Loging 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 2004140
2 2005123
3 2009104
4 2018100
5 200083
6 200765
7 200563
8 199857
9
Elevated expression of ribosomal protein genes L37, RPP-1, and S2 in the presence of mutant p53.
199954
10 199937
11 201134
12 201028
13 200926
14 200721
15 200921
16 199620
17 201311
18 20179
19 20164
20
Analysis of information flows in interaction networks: implication for drug discovery and pharmacological research.
20113

About William Loging

William Loging is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology and Immunology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (5 papers), Cancer-related Molecular Pathways (4 papers), Receptor Mechanisms and Signaling (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Immunotherapy and Immune Responses (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Computational Theory and Mathematics (362 citations), Pharmacology (100 citations), Molecular Biology (547 citations), Cancer Research (93 citations) and Oncology (162 citations). William Loging has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Anton Fliri, Robert A. Volkmann, Peter F. Thadeio, David Reisman, Bryn Williams–Jones, Lee Harland, David Reisman, Delvin R. Knight, Joan A. Keiser and David A. Perry. Their work appears in journals such as Journal of Clinical Oncology, Journal of Medicinal Chemistry, Nature Reviews Drug Discovery, Clinical Cancer Research and Proceedings of the National Academy of Sciences.

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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