Paul Lang

1.9k citations
23 papers · 1.5k · h-index 16

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Ion channel regulation and function 3
    • Single-cell and spatial transcriptomics 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Receptor Mechanisms and Signaling 2
    • Cellular transport and secretion 4

Paul Lang

22 papers receiving 1.5k citations

Peers

Paul Lang
Comparison fields: 5 of 106
  • Immunology and Allergy 155
  • Biophysics 140
  • Immunology 377
  • Cell Biology 274
  • Molecular Biology 795
Replace Karl‐Johan Leuchowius with:
Karl‐Johan Leuchowius Sweden
Amy N. Abell United States
Ralf Heilker Germany
Céline DerMardirossian United States
Karin Ridderstråle United States
Junko Umetani United States
Zachary C. Dobbin United States
Jérémie Rossy Australia
Janelle Waite United States
Fuad Bahram Sweden
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Citations per field
00.5×1.5×
Karl‐Johan Leuchowius · 1×
Citations per year

Countries citing papers authored by Paul Lang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Paul Lang Line = papers co-authored together Paul Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996484
2 2006270
3 1998116
4 1992103
5 200196
6 199277
7 202056
8 201944
9 200039
10 201837
11 199334
12 200731
13 199628
14 199418
15 200617
16 201416
17 197813
18 19955
19 20145
20 20062

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), T-cell and B-cell Immunology (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Single-cell and spatial transcriptomics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Immunology and Allergy (155 citations), Biophysics (140 citations), Immunology (377 citations), Cell Biology (274 citations) and Molecular Biology (795 citations). Paul Lang has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Jacques Bertoglio, Rodica Stancou, Franck Gesbert, M. Pouchelet, Anthony C. Nichols, Karen Yeow, Alexander Scheer, Olivier Dorseuil, John C. Cambier and Gérard Gâcon. Their work appears in journals such as Assay and Drug Development Technologies, The EMBO Journal, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and iScience.

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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