Maria Agelli

13 papers receiving 962 citations

Peers

Maria Agelli
Comparison fields: 5 of 72
  • Oncology 522
  • Aerospace Engineering 251
  • Electrical and Electronic Engineering 285
  • Public Health, Environmental and Occupational Health 86
  • Pulmonary and Respiratory Medicine 96
Replace Myriam Loyo with:
Myriam Loyo United States
Brian L. Swick United States
Raghava Munivenkatappa United States
Anders von Heijne Sweden
Anna P. Koo United States
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J. Meixensberger Germany
Claes Martin Sweden
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Citations per year

Countries citing papers authored by Maria Agelli

Since Specialization
Citations

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

Fields of papers citing papers by Maria Agelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Maria Agelli, 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 Maria Agelli Line = papers co-authored together Maria Agelli links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2003414
2 1998175
3 2010126
4 2003123
5
Safety and efficacy of S-adenosylmethionine (SAMe) for osteoarthritis.
200255
6
Cytokines and fibrosis.
198740
7 198113
8 199711
9 19958
10 19877
11
Takayasu's arteritis on steroid therapy. Seven years follow-up.
19997
12 19854
13
Flow cytometry and monoclonal antibodies identify normal liver cell populations antigenically related to oval cells.
19951

About Maria Agelli

Maria Agelli is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology, Surgery and Immunology, having authored 13 papers that have together received 984 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (2 papers), Liver physiology and pathology (2 papers), Polyomavirus and related diseases (2 papers), Pancreatic function and diabetes (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Immunotherapy and Immune Responses (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Oncology (522 citations), Aerospace Engineering (251 citations), Electrical and Electronic Engineering (285 citations), Public Health, Environmental and Occupational Health (86 citations) and Pulmonary and Respiratory Medicine (96 citations). Maria Agelli has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Limin X. Clegg, Jürgen C. Becker, Dana E. Rollison, Kathryn S Porter, Geraldine M. McQuillan, Raynard Kington, Sharon M. Wahl, L Del Corso, Anna Maria Romanelli and Ferdinando Pentimone. Their work appears in journals such as Current Problems in Cancer, Journal of the American Academy of Dermatology, Cellular Immunology, Genetics in Medicine and Rheumatology International.

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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