M. McAlister

1.2k citations
21 papers · 925 · h-index 16

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Biochemical and Molecular Research 4
    • Macrophage Migration Inhibitory Factor 3

M. McAlister

21 papers receiving 902 citations

Peers

M. McAlister
Comparison fields: 5 of 96
  • Physiology 44
  • Infectious Diseases 137
  • Parasitology 49
  • Immunology 141
  • Biotechnology 60
Replace Riccardo Bernasconi with:
Riccardo Bernasconi Switzerland
Paulo Sérgio Lopes de Oliveira Brazil
M. Fleur Sernee Australia
Michael A. Gorman Australia
Sojin Shikano United States
Jayanta K. Pal India
Seema Dalal United States
Angela Varrichio United States
Holger A. Lindner Germany
Liane Mende‐Mueller United States
M. McAlister relative to Riccardo Bernasconi Switzerland Riccardo Bernasconi's profile →
Citations per field
00.5×1.5×
Riccardo Bernasconi · 1×
Citations per year

Countries citing papers authored by M. McAlister

Since Specialization
Citations

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

Fields of papers citing papers by M. McAlister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001192
2 2005112
3 200487
4 200376
5 200166
6 200264
7 200252
8 201249
9 200142
10 199637
11 200025
12 199825
13 200223
14 201420
15 199816
16 202116
17 20209
18
The Economics of Sustainable Tall Buildings
20086
19 20135
20 20132

About M. McAlister

M. McAlister is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Oncology and Cell Biology, having authored 21 papers that have together received 925 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Biochemical and Molecular Research (4 papers), Macrophage Migration Inhibitory Factor (3 papers), Microtubule and mitosis dynamics (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Physiology (44 citations), Infectious Diseases (137 citations), Parasitology (49 citations), Immunology (141 citations) and Biotechnology (60 citations). M. McAlister has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Paul C. Driscoll, Judith Murray‐Rust, Neil Q. McDonald, John P. Phelan, Patrick Vallance, James Leiper, Sarah Tilley, Richard A. Norman, Richard Harris and Neil G. Stoker. Their work appears in journals such as Biochemical Journal, Biochemistry, Protein Engineering Design and Selection, Journal of Biological Chemistry and Structure.

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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