Clemens K. Probst

2.1k citations
22 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers)Medical Imaging and Pathology Studies (4 papers)Tuberous Sclerosis Complex Research (3 papers)

In The Last Decade

Clemens K. Probst

22 papers receiving 1.4k citations

Hit Papers

Mechanosignaling through YAP and TAZ drives fibroblast ac...20142026201820222014200400600

Peers

Clemens K. Probst
Comparison fields: 5 of 98
  • Molecular Biology 502
  • Pulmonary and Respiratory Medicine 446
  • Cell Biology 433
  • Surgery 140
  • Oncology 115
Replace Gary Wildey with:
Gary Wildey United States
Thomas D. Arnold United States
Zeyang Ding China
Elias Shezen Israel
F. vom Dorp Germany
Ana I. Flores Spain
Tomokazu Hasegawa Japan
Sabina Liechti‐Gallati Switzerland
Laura J. Lewis‐Tuffin United States
Sarah Berndt Belgium
Clemens K. Probst relative to Gary Wildey United States Gary Wildey's profile →
Citations per field
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Gary Wildey · 1×
Citations per year

Countries citing papers authored by Clemens K. Probst

Since Specialization
Citations

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

Fields of papers citing papers by Clemens K. Probst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clemens K. Probst. 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 Clemens K. Probst. The network helps show where Clemens K. Probst may publish in the future.

Co-authorship network of co-authors of Clemens K. Probst

This figure shows the co-authorship network connecting the top 25 collaborators of Clemens K. Probst. A scholar is included among the top collaborators of Clemens K. Probst 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 Clemens K. Probst. Clemens K. Probst 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 2
2 10
3 8
4 23
5 47
6 1
7 66
8 20
9 15
10 6
11 161
12 88
13 66
14 50
15 45
16 25
17 35
18 78
19
Mechanosignaling through YAP and TAZ drives fibroblast activation and fibrosisbreakdown →
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20 41

About Clemens K. Probst

Clemens K. Probst is a scholar working on Pulmonary and Respiratory Medicine, Behavioral Neuroscience and Internal Medicine, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Medical Imaging and Pathology Studies (4 papers) and Tuberous Sclerosis Complex Research (3 papers). The work is most often cited by research in Cell Biology (433 citations), Pulmonary and Respiratory Medicine (446 citations) and Hepatology (69 citations). Clemens K. Probst has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Andrew M. Tager, David Lagares, Daniel J. Tschumperlin, Fei Liu, Xaralabos Varelas, Аleksandar Marinković, Thomas H. Sisson, Kyoung Moo Choi, Vladimir Vrbanac and Laura E. Fredenburgh. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and Cancer Research.

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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