Mark Roberts

26 papers receiving 530 citations

Peers

Mark Roberts
Comparison fields: 5 of 119
  • Infectious Diseases 103
  • Endocrinology 24
  • Genetics 123
  • Parasitology 29
  • Molecular Biology 215
Replace Michelle E. Maxson with:
Michelle E. Maxson Canada
Thomas Rudel Germany
Emily Locke United States
Poonam Rath United States
Jana Kent United States
Feng Zhu China
Dan Y. Wu United States
Myung‐Chul Chung United States
Sandeepa M. Eswarappa India
Andreas Thywißen Germany
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Citations per year

Countries citing papers authored by Mark Roberts

Since Specialization
Citations

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

Fields of papers citing papers by Mark Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Allergic bronchopulmonary aspergillosis in patients with and without evidence of bronchiectasis.
199399
2 200980
3 201279
4 198834
5 200833
6 201329
7 201325
8 201021
9 200621
10 201319
11 201119
12 200918
13 200615
14 201713
15 20199
16 19937
17 20227
18 19947
19 19764
20 20194

About Mark Roberts

Mark Roberts is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Artificial Intelligence and Infectious Diseases, having authored 33 papers that have together received 553 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Antifungal resistance and susceptibility (2 papers), Advanced Software Engineering Methodologies (2 papers), Oral microbiology and periodontitis research (2 papers), Logic, programming, and type systems (2 papers) and Molecular Communication and Nanonetworks (2 papers). The work is most often cited by research in Infectious Diseases (103 citations), Endocrinology (24 citations), Genetics (123 citations), Parasitology (29 citations) and Molecular Biology (215 citations). Mark Roberts has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Judith P. Armitage, Paul A. Greenberger, Thomas P. Miller, Lewis J. Smith, Colleen A. Cushing, George H. Wadhams, Kimberly A. Lowe, Dominik D. Alexander, Antonis Papachristodoulou and Steven L. Porter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Essays in Biochemistry, Essays in Criticism, IEEE Software and Journal of Oral Microbiology.

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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