Robert M. Macnab

15.0k citations
127 papers · 12.5k indexed · 2 hit papers · h-index 67
Topics
Bacterial Genetics and Biotechnology (79 papers)Bacteriophages and microbial interactions (33 papers)RNA and protein synthesis mechanisms (27 papers)

In The Last Decade

Robert M. Macnab

127 papers receiving 11.9k citations

Hit Papers

How Bacteria Assemble Flagella197220261990200820031972250500750

Peers

Robert M. Macnab
Comparison fields: 5 of 147
  • Molecular Biology 7.6k
  • Genetics 6.6k
  • Ecology 2.9k
  • Endocrinology 2.0k
  • Cellular and Molecular Neuroscience 1.5k
Replace John S. Parkinson with:
John S. Parkinson United States
Judith P. Armitage United Kingdom
Victor Sourjik Germany
Julius Adler United States
Shin‐Ichi Aizawa Japan
Julie A. Theriot United States
M. Silverman United States
Michio Homma Japan
David F. Blair United States
Igor B. Zhulin United States
Robert M. Macnab relative to John S. Parkinson United States John S. Parkinson's profile →
Citations per field
00.5×1.5×2.2×
John S. Parkinson · 1×
Citations per year

Countries citing papers authored by Robert M. Macnab

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Macnab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert M. Macnab

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Macnab. A scholar is included among the top collaborators of Robert M. Macnab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert M. Macnab. Robert M. Macnab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 92
2 3
3 118
4 69
5 242
6 65
7 2
8 26
9 35
10 88
11 187
12 48
13 37
14 43
15 399
16 148
17 123
18 41
19 7
20 17

About Robert M. Macnab

Robert M. Macnab is a scholar working on Genetics, Endocrinology and Condensed Matter Physics, having authored 127 papers that have together received 12.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (79 papers), Bacteriophages and microbial interactions (33 papers) and RNA and protein synthesis mechanisms (27 papers). The work is most often cited by research in Endocrinology (2.0k citations), Genetics (6.6k citations) and Condensed Matter Physics (1.5k citations). Robert M. Macnab has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Tohru Minamino, Daniel E. Koshland, May Kihara, Shigeru Yamaguchi, Shin‐Ichi Aizawa, David J. DeRosier, Michio Homma, Christopher J. Jones, V M Irikura and M. K. Ornston. Their work appears in journals such as Nature, Science and Cell.

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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