I.W. McNae

2.5k citations
46 papers · 1.9k · h-index 27

Impact in

    • Epigenetics and DNA Methylation
    • Biochemical and Molecular Research
    • Protein Structure and Dynamics
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

I.W. McNae

46 papers receiving 1.9k citations

Peers

I.W. McNae
Comparison fields: 5 of 100
  • Molecular Biology 1.1k
  • Oncology 343
  • Organic Chemistry 374
  • Computational Theory and Mathematics 175
  • Public Health, Environmental and Occupational Health 259
Replace Rongshi Li with:
Rongshi Li United States
Anders Poulsen Singapore
Huchen Zhou China
Stefania Di Marco Italy
James C. Burnett United States
David T. Barkan United States
William P. Heal United Kingdom
Stephen A. Margosiak United States
Remigiusz Serwa Poland
Hoyun Lee Canada
I.W. McNae relative to Rongshi Li United States Rongshi Li's profile →
Citations per field
00.5×1.6×
Rongshi Li · 1×
Citations per year

Countries citing papers authored by I.W. McNae

Since Specialization
Citations

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

Fields of papers citing papers by I.W. McNae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.W. McNae. 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 I.W. McNae. The network helps show where I.W. McNae may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008238
2 2007137
3 2004132
4 2004110
5 200390
6 201177
7 200571
8 201170
9 201070
10 200764
11 200455
12 200454
13 200650
14 200548
15 200647
16 201846
17 200843
18 201240
19 202040
20 200936

About I.W. McNae

I.W. McNae is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Organic Chemistry and Cancer Research, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), Biochemical and Molecular Research (15 papers), Trypanosoma species research and implications (9 papers), Protein Structure and Dynamics (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer-related Molecular Pathways (5 papers), Research on Leishmaniasis Studies (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Oncology (343 citations), Organic Chemistry (374 citations), Computational Theory and Mathematics (175 citations) and Public Health, Environmental and Occupational Health (259 citations). I.W. McNae has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Malcolm D. Walkinshaw, Paul A.M. Michels, Linda A. Fothergill‐Gilmore, Kok Lian Ho, Peter M. Fischer, Hugh P. Morgan, Lars Schmiedeberg, Adrian Bird, Robert J. Klose and Matthew W. Nowicki. Their work appears in journals such as Journal of Molecular Biology, Biochemical Journal, Chemistry - A European Journal, Journal of Medicinal Chemistry and Journal of Biological Chemistry.

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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