M. Bachelet

40 papers receiving 656 citations

Peers

M. Bachelet
Comparison fields: 5 of 99
  • Dermatology 77
  • Physiology 153
  • Rehabilitation 38
  • Immunology and Allergy 26
  • Radiology, Nuclear Medicine and Imaging 81
Replace Gabriela Lladó Grove with:
Gabriela Lladó Grove United States
Wanda Stankiewicz Poland
Mengchen Zou China
Ann R. Schwentker United States
E Trabucchi Italy
Ralph Woessner Switzerland
Huapei Song China
Kristine Vasquez United States
Neil Brody United States
Karen Barrett United Kingdom
M. Bachelet relative to Gabriela Lladó Grove United States Gabriela Lladó Grove's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Bachelet

Since Specialization
Citations

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

Fields of papers citing papers by M. Bachelet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200193
2 200172
3 199545
4 199743
5 199540
6 199332
7 200029
8 201729
9 197924
10 199523
11 199521
12 199420
13 199017
14 199817
15 197615
16 201514
17 199013
18 199313
19 200113
20 200213

About M. Bachelet

M. Bachelet is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Surgery and Nephrology, having authored 40 papers that have together received 690 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (8 papers), Neonatal Respiratory Health Research (5 papers), Immune Response and Inflammation (4 papers), Parathyroid Disorders and Treatments (4 papers), thermodynamics and calorimetric analyses (3 papers), Inhalation and Respiratory Drug Delivery (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Dermatology (77 citations), Physiology (153 citations), Rehabilitation (38 citations), Immunology and Allergy (26 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). M. Bachelet has collaborated with scholars based in France, United Kingdom and Brazil. Frequent co-authors include Evelyne Souil, Serge Mordon, Alexandre Capon, Barbara S. Polla, Inês Azevedo, P. Scheinmann, J. de Blic, B. S. Polla, Anh Tuan Dinh‐Xuan and B.B. Vargaftig. Their work appears in journals such as Inflammation Research, Cell Biochemistry and Function, Biochemical and Biophysical Research Communications, Infection and Immunity and Cellular and Molecular Life Sciences.

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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