Thomas Weichhart

8.6k citations
83 papers · 5.9k indexed · 3 hit papers · h-index 38
Topics
PI3K/AKT/mTOR signaling in cancer (18 papers)Mast cells and histamine (11 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers)

In The Last Decade

Thomas Weichhart

82 papers receiving 5.8k citations

Hit Papers

The TSC-mTOR Signaling Pathway Regulates the Innate Infla...2008202620142020200820152017200400600

Peers

Thomas Weichhart
Comparison fields: 5 of 127
  • Molecular Biology 2.1k
  • Immunology 2.1k
  • Epidemiology 994
  • Physiology 883
  • Oncology 598
Replace Neal N. Iwakoshi with:
Neal N. Iwakoshi United States
Lionel Feigenbaum United States
Alain Vandewalle France
David J. Granville Canada
Hongbo Chi United States
David A. Hildeman United States
Maximilian Zeyda Austria
Derek A. Mann United Kingdom
Marc E. Weksler United States
Daniel Fishman Israel
Thomas Weichhart relative to Neal N. Iwakoshi United States Neal N. Iwakoshi's profile →
Citations per field
00.5×1.5×1.9×
Neal N. Iwakoshi · 1×
Citations per year

Countries citing papers authored by Thomas Weichhart

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Weichhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Weichhart

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Weichhart. A scholar is included among the top collaborators of Thomas Weichhart 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 Thomas Weichhart. Thomas Weichhart 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 38
3 8
4 13
5 7
6 3
7 8
8 67
9 11
10 47
11 97
12 88
13
Regulation of innate immune cell function by mTORbreakdown →
622
14 13
15 48
16 15
17 16
18 77
19 111
20 23

About Thomas Weichhart

Thomas Weichhart is a scholar working on Immunology, Nephrology and Physiology, having authored 83 papers that have together received 5.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (18 papers), Mast cells and histamine (11 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers). The work is most often cited by research in Immunology (2.1k citations), Aging (141 citations) and Transplantation (198 citations). Thomas Weichhart has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Marcus D. Säemann, Markus Hengstschläger, Monika Linke, Walter H. Hörl, Nyamdelger Sukhbaatar, Maximilian Zeyda, Michael Haidinger, Thomas M. Stulnig, Marko Poglitsch and Gerhard J. Zlabinger. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Blood.

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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