Milena Gianfrancesco
- Pathology and Forensic Medicine top 2%
- Health Informatics top 0.1%
- Artificial Intelligence top 2%
- Rheumatology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Jinoos YazdanyGabriela SchmajukSuzanne TamangLisa F. BarcellosLars AlfredssonTomas OlssonCatherine SchaeferAnna Karin Hedström
- Topics
- Systemic Lupus Erythematosus Research (15 papers)Rheumatoid Arthritis Research and Therapies (13 papers)Multiple Sclerosis Research Studies (7 papers)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Milena Gianfrancesco
50 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Pathology and Forensic Medicine 546
- Health Informatics 530
- Artificial Intelligence 479
- Rheumatology 413
- Radiology, Nuclear Medicine and Imaging 312
Countries citing papers authored by Milena Gianfrancesco
This map shows the geographic impact of Milena Gianfrancesco'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 Milena Gianfrancesco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milena Gianfrancesco more than expected).
Fields of papers citing papers by Milena Gianfrancesco
This network shows the impact of papers produced by Milena Gianfrancesco. 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 Milena Gianfrancesco. The network helps show where Milena Gianfrancesco may publish in the future.
Co-authorship network of co-authors of Milena Gianfrancesco
This figure shows the co-authorship network connecting the top 25 collaborators of Milena Gianfrancesco. A scholar is included among the top collaborators of Milena Gianfrancesco 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 Milena Gianfrancesco. Milena Gianfrancesco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 83 | |
| 5 | 23 | |
| 6 | 3 | |
| 7 | Race/ethnicity Is Associated with Poor Health Outcomes Amongst Rheumatic Disease Patients Diagnosed with COVID-19 in the US: Data from the COVID-19 Global Rheumatology Alliance Physician-Reported Registry | 1 |
| 8 | 133 | |
| 9 | 14 | |
| 10 | 38 | |
| 11 | 10 | |
| 12 | 27 | |
| 13 | 37 | |
| 14 | 42 | |
| 15 | 18 | |
| 16 | 65 | |
| 17 | 79 | |
| 18 | 2 | |
| 19 | 72 | |
| 20 | 36 |
About Milena Gianfrancesco
Milena Gianfrancesco is a scholar working on Health Informatics, Rheumatology and Hepatology, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (15 papers), Rheumatoid Arthritis Research and Therapies (13 papers) and Multiple Sclerosis Research Studies (7 papers). The work is most often cited by research in Health Informatics (530 citations), Health Information Management (191 citations) and Pathology and Forensic Medicine (546 citations). Milena Gianfrancesco has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Jinoos Yazdany, Gabriela Schmajuk, Suzanne Tamang, Lisa F. Barcellos, Lars Alfredsson, Tomas Olsson, Catherine Schaefer, Anna Karin Hedström, Neal D. Goldstein and Beau Norgeot. Their work appears in journals such as Nature Medicine, Nature Communications and 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.