Michael McGregor

22 papers receiving 1.1k citations

Michael McGregor's Hit Papers

Inhibition of CRISPR-Cas9 with Bacteriophage Proteins 2016 · 353 citations
3530+3+6Years since publication100200300

Peers

Michael McGregor
Comparison fields: 5 of 118
  • Business and International Management 76
  • Aging 40
  • Virology 80
  • Molecular Biology 804
  • Insect Science 62
Replace Magdalena Skrzypczak with:
Magdalena Skrzypczak Poland
Matthew C. Canver United States
Cherie L. Ramirez United States
Hsin‐Kai Liao Taiwan
Yueying Cao United States
Hyunji Lee South Korea
Ryan D. Chow United States
Benjamin G. Gowen United States
Yingxiang Li China
Michelle Ng United States
Michael McGregor relative to Magdalena Skrzypczak Poland Magdalena Skrzypczak's profile →
Citations per field
00.5×3.1×
Magdalena Skrzypczak · 1×
Citations per year

Countries citing papers authored by Michael McGregor

Since Specialization
Citations

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

Fields of papers citing papers by Michael McGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inhibition of CRISPR-Cas9 with Bacteriophage Proteins
Hit paper breakdown →
2016353
2 2011185
3 2016131
4 201878
5 201170
6 201551
7 201248
8 201330
9 201421
10 201320
11 201818
12 201817
13 201717
14 202013
15 202311
16 202011
17 20218
18 20205
19 20234
20 20173

About Michael McGregor

Michael McGregor is a scholar working on Molecular Biology, Political Science and International Relations, Cardiology and Cardiovascular Medicine, Virology and Genetics, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), HIV Research and Treatment (3 papers), Electoral Systems and Political Participation (3 papers), Insect symbiosis and bacterial influences (2 papers), Virus-based gene therapy research (2 papers), Receptor Mechanisms and Signaling (2 papers), Congenital heart defects research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Business and International Management (76 citations), Aging (40 citations), Virology (80 citations), Molecular Biology (804 citations) and Insect Science (62 citations). Michael McGregor has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Nevan J. Krogan, Judd F. Hultquist, Benjamin J. Rauch, Melanie R. Silvis, Joseph Bondy‐Denomy, Christopher S Waters, Mark A. Sussman, Alexander Marson, Kathrin Schumann and Jennifer A. Doudna. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Policy & Internet, Nature Communications, Cell Reports and Physiological Reviews.

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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