Marco Bo

45 papers receiving 828 citations

Peers

Marco Bo
Comparison fields: 5 of 104
  • Developmental Biology 32
  • Pharmacology 79
  • Rheumatology 75
  • Epidemiology 166
  • Cardiology and Cardiovascular Medicine 102
Replace Roman Müllenbach with:
Roman Müllenbach Germany
Nigel J. Lindsey United Kingdom
Akira Sugita Japan
Anthony W. Ryan Ireland
Ward R. Rice United States
Antonel Olckers South Africa
Naoko Takeuchi Japan
W.D. Paterson United Kingdom
Jelena Blagojević Serbia
Chris Stubben United States
Marco Bo relative to Roman Müllenbach Germany Roman Müllenbach's profile →
Citations per field
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Roman Müllenbach · 1×
Citations per year

Countries citing papers authored by Marco Bo

Since Specialization
Citations

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

Fields of papers citing papers by Marco Bo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994143
2
Interferon regulatory factor 5 is a potential target of autoimmune response triggered by Epstein-barr virus and Mycobacterium avium subsp. paratuberculosis in rheumatoid arthritis: investigating a mechanism of molecular mimicry.
201848
3 201847
4 201747
5 202041
6 202034
7 201832
8 200532
9 202131
10 200330
11 201826
12 201925
13 201525
14 201924
15 201023
16 202322
17 201820
18 202020
19 201117
20 202116

About Marco Bo

Marco Bo is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Rheumatology, having authored 45 papers that have together received 849 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (7 papers), Reproductive Health and Contraception (5 papers), Multiple Sclerosis Research Studies (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Chromosomal and Genetic Variations (4 papers), Avian ecology and behavior (4 papers), Systemic Lupus Erythematosus Research (3 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Developmental Biology (32 citations), Pharmacology (79 citations), Rheumatology (75 citations), Epidemiology (166 citations) and Cardiology and Cardiovascular Medicine (102 citations). Marco Bo has collaborated with scholars based in Italy, Argentina and United States. Frequent co-authors include Leonardo A. Sechi, Gian Luca Erre, Giuseppe Passiu, Juan Pablo Isacch, Carla Maria Zotti, Fabrizio Fabris, L Pernigotti, Gianfranco Fonte, Mauro Zanocchi and Erminia Ferrario. Their work appears in journals such as Journal of Neuroimmunology, The European Journal of Contraception & Reproductive Health Care, Behavioural Processes, Clinical & Experimental Immunology and European Journal of Neurology.

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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