Mary Lunn

33 papers receiving 3.5k citations

Hit Papers

Quantifying the roles of immigration and chance in shaping prokaryote community structure 2005 · 1.3k citations
1.3k19952026200520154008001.2k

Peers

Mary Lunn
Comparison fields: 5 of 175
  • Ecology 1.6k
  • Neuropsychology and Physiological Psychology 71
  • Pollution 499
  • Health, Toxicology and Mutagenesis 318
  • Endocrinology 108
Replace Alberto Riva with:
Alberto Riva United States
Lieven Clement Belgium
Susan Turner United Kingdom
William C. Bridges United States
John E. Carlson United States
Leo Lahti Finland
Michael P. Weinstein United States
Misty J. Hein United States
Kenneth M. Portier United States
Bruno Walther Taiwan
Mary Lunn relative to Alberto Riva United States Alberto Riva's profile →
Citations per field
00.5×11.8×
Alberto Riva · 1×
Citations per year

Countries citing papers authored by Mary Lunn

Since Specialization
Citations

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

Fields of papers citing papers by Mary Lunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202111
2 201931
3 201513
4 20117
5 20087
6 200812
7 200830
8 200828
9 200718
10 2007139
11 200679
12 2006151
13
Quantifying the roles of immigration and chance in shaping prokaryote community structure
Hit paper breakdown →
20051276
14 200523
15 200415
16 199911
17 199912
18 199726
19 199719
20 199721

About Mary Lunn

Mary Lunn is a scholar working on Neuropsychology and Physiological Psychology, Statistics and Probability, Geriatrics and Gerontology, Psychiatry and Mental health and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 3.5k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (8 papers), Dementia and Cognitive Impairment Research (7 papers), Aging and Gerontology Research (5 papers), Gut microbiota and health (5 papers), Cognitive Abilities and Testing (4 papers), Advances in Oncology and Radiotherapy (4 papers), Evolution and Genetic Dynamics (4 papers) and Health, Environment, Cognitive Aging (4 papers). The work is most often cited by research in Ecology (1.6k citations), Neuropsychology and Physiological Psychology (71 citations), Pollution (499 citations), Health, Toxicology and Mutagenesis (318 citations) and Endocrinology (108 citations). Mary Lunn has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include William T. Sloan, Don McNeil, Thomas P. Curtis, Stephen Woodcock, Ian M. Head, Sean Nee, Patrick Rabbitt, Craig S. Criddle, Christopher Francis and George Wells. Their work appears in journals such as The Journals of Gerontology Series B, Environmental Microbiology, Biometrics, Neuropsychology and Clinical Oncology.

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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