Loren Méar

3.4k citations
15 papers · 2.1k · 2 hit papers · h-index 7

Impact in

Papers in

Loren Méar

14 papers receiving 2.1k citations

Loren Méar's Hit Papers

A single–cell type transcriptomics map of human tissues 2021 · 1.2k citations
1.2k0+2+4Years since publication2505007501000

Peers

Loren Méar
Comparison fields: 5 of 119
  • Infectious Diseases 550
  • Obstetrics and Gynecology 152
  • Neurology 235
  • Reproductive Medicine 126
  • Immunology 304
Replace Timo B. Trefzer with:
Timo B. Trefzer Germany
Sandro Orrù Italy
Joshua Chiou United States
Steven P. Lehrer United States
Adam Cribbs United Kingdom
Astrid Hagelkrüys Austria
Soren Hayrabedyan Bulgaria
Qiushi Zhang China
Massimo P. Crippa Italy
Loren Méar relative to Timo B. Trefzer Germany Timo B. Trefzer's profile →
Citations per field
00.5×5×10×16×
Timo B. Trefzer · 1×
Citations per year

Countries citing papers authored by Loren Méar

Since Specialization
Citations

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

Fields of papers citing papers by Loren Méar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
A single–cell type transcriptomics map of human tissues
Hit paper breakdown →
20211151
2
The protein expression profile of ACE2 in human tissues
Hit paper breakdown →
2020769
3 201968
4 201665
5 202227
6 202219
7 202312
8 20227
9 20237
10 20257
11 20215
12 20162
13 20202
14 20252
15 20250

About Loren Méar

Loren Méar is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Immunology, Oncology and Cancer Research, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (4 papers), Single-cell and spatial transcriptomics (4 papers), COVID-19 Clinical Research Studies (2 papers), Cancer Genomics and Diagnostics (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Uterine Myomas and Treatments (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Infectious Diseases (550 citations), Obstetrics and Gynecology (152 citations), Neurology (235 citations), Reproductive Medicine (126 citations) and Immunology (304 citations). Loren Méar has collaborated with scholars based in Sweden, France and United States. Frequent co-authors include Cecilia Lindskog, Feria Hikmet, Patrick Micke, Mathias Uhlén, Åsa Edvinsson, Charles P. Pineau, Arnaud Fauconnier, François Vialard, Marie Herr and Pauliina Damdimopoulou. Their work appears in journals such as Journal of Proteome Research, Genome biology, Molecular Systems Biology, Science Advances and American Journal of Obstetrics and Gynecology.

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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