Lidia Mora

1.3k citations
11 papers · 157 · h-index 6

Impact in

Papers in

Lidia Mora

10 papers receiving 154 citations

Peers

Lidia Mora
Comparison fields: 5 of 26
  • Biochemistry 89
  • Critical Care and Intensive Care Medicine 33
  • Internal Medicine 8
  • Emergency Medicine 14
  • Orthopedics and Sports Medicine 7
Replace Rafael Alves Franco with:
Rafael Alves Franco Brazil
Danielle Van Patten United States
V. Moral Spain
Eline A. Vlot Netherlands
Marcos Jordán Spain
Matthias Klages Germany
Debbie Ho Australia
Geoff Tsang United Kingdom
Cristel Sanchez Torres Belgium
Mirko Brenni Switzerland
Lidia Mora relative to Rafael Alves Franco Brazil Rafael Alves Franco's profile →
Citations per field
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Rafael Alves Franco · 1×
Citations per year

Countries citing papers authored by Lidia Mora

Since Specialization
Citations

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

Fields of papers citing papers by Lidia Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201671
2 201942
3 200917
4
[Rituximab: its efficacy, effectiveness and safety in the treatment of multiple sclerosis].
20187
5 20157
6 20226
7 20153
8 20222
9 20241
10
[Thromboprophylaxis in multiple trauma and head injury patients].
20111
11 20240

About Lidia Mora

Lidia Mora is a scholar working on Internal Medicine, Emergency Medicine, Critical Care and Intensive Care Medicine, Biochemistry and Surgery, having authored 11 papers that have together received 157 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Trauma and Emergency Care Studies (3 papers), Blood transfusion and management (3 papers), Traumatic Ocular and Foreign Body Injuries (1 paper), Clinical practice guidelines implementation (1 paper), Abdominal Trauma and Injuries (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Biochemistry (89 citations), Critical Care and Intensive Care Medicine (33 citations), Internal Medicine (8 citations), Emergency Medicine (14 citations) and Orthopedics and Sports Medicine (7 citations). Lidia Mora has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include M.J. Colomina, Joan Bagó, M. Basora, Maylin Koo, Javier Pizones, Patricia Duque, Jerrold H. Levy, Herbert Schöchl, Ferrán Pellisé and Xavier Vidal. Their work appears in journals such as Transfusion, British Journal of Anaesthesia, European Journal of Anaesthesiology, Anesthesiology and Orthopedics.

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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