Méja Rabodonirina

2.0k citations
29 papers · 914 indexed · h-index 14
Topics
Pneumocystis jirovecii pneumonia detection and treatment (13 papers)HIV/AIDS drug development and treatment (10 papers)Parasitic Infections and Diagnostics (8 papers)

In The Last Decade

Méja Rabodonirina

25 papers receiving 883 citations

Peers

Méja Rabodonirina
Comparison fields: 5 of 67
  • Infectious Diseases 495
  • Epidemiology 491
  • Parasitology 377
  • Molecular Biology 51
  • Endocrinology 51
Replace M. Rabodonirina with:
M. Rabodonirina France
C. Sarfati France
M. A. Piens France
Florence Persat France
V. K. Vinayak India
Emmanuelle Bart–Delabesse France
Gilles Nevez France
Showgy Y. Ma’ayeh Sweden
Saovanee Leelayoova Thailand
Ramtin Hadighi Iran
Méja Rabodonirina relative to M. Rabodonirina France M. Rabodonirina's profile →
Citations per field
00.5×4.2×
M. Rabodonirina · 1×
Citations per year

Countries citing papers authored by Méja Rabodonirina

Since Specialization
Citations

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

Fields of papers citing papers by Méja Rabodonirina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Méja Rabodonirina

This figure shows the co-authorship network connecting the top 25 collaborators of Méja Rabodonirina. A scholar is included among the top collaborators of Méja Rabodonirina 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 Méja Rabodonirina. Méja Rabodonirina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 9
5 8
6 2
7 51
8 25
9 8
10 33
11 74
12 89
13 28
14 53
15 37
16 4
17 28
18 149
19 59
20 3

About Méja Rabodonirina

Méja Rabodonirina is a scholar working on Parasitology, Infectious Diseases and Transplantation, having authored 29 papers that have together received 914 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (13 papers), HIV/AIDS drug development and treatment (10 papers) and Parasitic Infections and Diagnostics (8 papers). The work is most often cited by research in Parasitology (377 citations), Infectious Diseases (495 citations) and Epidemiology (491 citations). Méja Rabodonirina has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Aimable Nahimana, Philippe M. Hauser, P Francioli, Jacques Billé, Laurent Cotte, Christian Trépo, Marie‐Antoinette Piens, Stéphane Picot, Jannik Helweg‐Larsen and Florence Persat. Their work appears in journals such as Blood, PLoS ONE and Clinical Infectious Diseases.

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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