Miriam Patella

608 citations
47 papers · 337 indexed · h-index 11

Impact in

Papers in

Miriam Patella

42 papers receiving 328 citations

Peers

Miriam Patella
Comparison fields: 5 of 71
  • Pulmonary and Respiratory Medicine 196
  • Critical Care and Intensive Care Medicine 23
  • Transplantation 9
  • Surgery 121
  • Oncology 53
Replace Yohei Taniguchi with:
Yohei Taniguchi Japan
Kareem Ahmad United States
Chi‐Der Chiang Taiwan
Tara R. Semenkovich United States
Takashi Harano United States
Jeffrey R. Kunin United States
José Carlos Felicetti Brazil
Shine Raju United States
M. Rolla Italy
Chenyang Zhan United States
Miriam Patella relative to Yohei Taniguchi Japan Yohei Taniguchi's profile →
Citations per field
00.5×1.5×1.9×
Yohei Taniguchi · 1×
Citations per year

Countries citing papers authored by Miriam Patella

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Patella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20234
3 20224
4 20212
5 202123
6 202110
7 20215
8 20191
9 20190
10 20192
11 20196
12 201811
13 20174
14 20152
15 201423
16 201337
17 20137
18 20120
19 20107
20 198420

About Miriam Patella

Miriam Patella is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Biochemistry and Surgery, having authored 47 papers that have together received 337 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Pleural and Pulmonary Diseases (9 papers), Tracheal and airway disorders (4 papers), Transplantation: Methods and Outcomes (3 papers), Lung Cancer Treatments and Mutations (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Myasthenia Gravis and Thymoma (3 papers) and Occupational and environmental lung diseases (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (196 citations), Critical Care and Intensive Care Medicine (23 citations), Transplantation (9 citations), Surgery (121 citations) and Oncology (53 citations). Miriam Patella has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Federico Venuta, Marco Anile, Daniele Diso, Stefano Cafarotti, Tiziano De Giacomo, Rolf Inderbitzi, Isabelle Opitz, Erino Angelo Rendina, Emanuele Russo and Sara Mantovani. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, Interactive Cardiovascular and Thoracic Surgery, Journal of Clinical Medicine, Gastrointestinal Endoscopy and PLoS ONE.

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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