Lena Böttinger

2.5k citations
22 papers · 1.9k · 1 hit paper · h-index 15

Impact in

Papers in

Lena Böttinger

22 papers receiving 1.9k citations

Lena Böttinger's Hit Papers

Long‐term expanding human airway organoids for disease modeling 2019 · 820 citations
8200+2+4Years since publication250500750

Peers

Lena Böttinger
Comparison fields: 5 of 103
  • Clinical Biochemistry 241
  • Molecular Biology 1.1k
  • Oncology 302
  • Aging 20
  • Cancer Research 144
Replace Liya Wang with:
Liya Wang Sweden
Angel Ashikov Netherlands
Sue‐Jean Hong United States
Yulia V. Surovtseva United States
Niall D. Geoghegan Australia
Liang Qin China
Lindsey Van Haute United Kingdom
Xinqi Liu China
Chiara Rampazzo Italy
Cory L. Simpson United States
Lena Böttinger relative to Liya Wang Sweden Liya Wang's profile →
Citations per field
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Liya Wang · 1×
Citations per year

Countries citing papers authored by Lena Böttinger

Since Specialization
Citations

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

Fields of papers citing papers by Lena Böttinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long‐term expanding human airway organoids for disease modeling
Hit paper breakdown →
2019820
2 2012180
3 2016146
4 2011118
5 201599
6 201565
7 201364
8 201460
9 201256
10 201347
11 201243
12 202143
13 201530
14 201525
15 202022
16 201815
17 202213
18 202311
19 202210
20 20124

About Lena Böttinger

Lena Böttinger is a scholar working on Clinical Biochemistry, Molecular Biology, Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine and Emergency Medicine, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (13 papers), Metabolism and Genetic Disorders (5 papers), Heat shock proteins research (4 papers), Respiratory Support and Mechanisms (3 papers), Airway Management and Intubation Techniques (3 papers), Cystic Fibrosis Research Advances (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Clinical Biochemistry (241 citations), Molecular Biology (1.1k citations), Oncology (302 citations), Aging (20 citations) and Cancer Research (144 citations). Lena Böttinger has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Thomas C. Becker, Nikolaus Pfanner, Günther Daum, Susanne E. Horvath, Nils Wiedemann, Bernard Guiard, Thomas Kleinschroth, Carola Hunte, Agnieszka Górnicka and Agnieszka Chacińska. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Journal of Molecular Biology, EMBO Reports and Trends in Biochemical 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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