Paul Lang
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in ⓘ
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- Protein Kinase Regulation and GTPase Signaling 5
- Ion channel regulation and function 3
- Single-cell and spatial transcriptomics 2
- Signaling Pathways in Disease 2
- Wnt/β-catenin signaling in development and cancer 2
- Genomics and Chromatin Dynamics 2
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- Cellular transport and secretion 4
- Co-authors
- Jacques Bertoglio (6 shared papers)Rodica Stancou (2 shared papers)Franck Gesbert (2 shared papers)M. Pouchelet (1 shared paper)Anthony C. Nichols (2 shared papers)Alexander Scheer (3 shared papers)Karen Yeow (3 shared papers)Gérard Gâcon (2 shared papers)
- Journals
- Assay and Drug Development Technologies (2 papers)The EMBO Journal (2 papers)Journal of Biological Chemistry (2 papers)iScience (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Paul Lang
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Immunology and Allergy 159
- Biophysics 146
- Immunology 387
- Cell Biology 290
- Molecular Biology 823
Countries citing papers authored by Paul Lang
This map shows the geographic impact of Paul Lang'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 Paul Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Lang more than expected).
Fields of papers citing papers by Paul Lang
This network shows the impact of papers produced by Paul Lang. 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 Paul Lang. The network helps show where Paul Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 484 | |
| 2 | 2006 | 268 | |
| 3 | 1998 | 117 | |
| 4 | 1992 | 103 | |
| 5 | 2001 | 96 | |
| 6 | 1992 | 77 | |
| 7 | 2020 | 56 | |
| 8 | 2019 | 42 | |
| 9 | 2000 | 39 | |
| 10 | 2018 | 35 | |
| 11 | 1993 | 34 | |
| 12 | 2007 | 31 | |
| 13 | 1996 | 28 | |
| 14 | 1994 | 18 | |
| 15 | 2006 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 1978 | 13 | |
| 18 | 2014 | 5 | |
| 19 | 1995 | 5 | |
| 20 | 2006 | 2 |
About Paul Lang
Paul Lang is a scholar working on Molecular Biology, Cell Biology, Immunology, Surgery and Genetics, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cellular transport and secretion (4 papers), Ion channel regulation and function (3 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Signaling Pathways in Disease (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology and Allergy (159 citations), Biophysics (146 citations), Immunology (387 citations), Cell Biology (290 citations) and Molecular Biology (823 citations). Paul Lang has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jacques Bertoglio, Rodica Stancou, Franck Gesbert, M. Pouchelet, Anthony C. Nichols, Alexander Scheer, Karen Yeow, Gérard Gâcon, Olivier Dorseuil and John C. Cambier. Their work appears in journals such as Assay and Drug Development Technologies, The EMBO Journal, Journal of Biological Chemistry, iScience and SLAS DISCOVERY.
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.