Christopher Lang

448 citations
10 papers · 340 · h-index 6

Impact in

  • Urology top 10%
    • Hair Growth and Disorders
  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Skin and Cellular Biology Research

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Hedgehog Signaling Pathway Studies 2
    • CRISPR and Genetic Engineering 2
    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 1

Christopher Lang

10 papers receiving 335 citations

Peers

Christopher Lang
Comparison fields: 5 of 87
  • Urology 47
  • Cell Biology 113
  • Health, Toxicology and Mutagenesis 68
  • Dermatology 28
  • Small Animals 24
Replace Sona Zare with:
Sona Zare Iran
J.E. Surlève-Bazeille France
Zihui Yan China
B. A. Panaretto Australia
Xiao-Feng Sun China
Xiaoli Ji China
Supawadee Sukseree Austria
Erik Andreasen Denmark
J. Bednarz Germany
Wenqing Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Lang

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Christopher 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 Christopher Lang Line = papers co-authored together Christopher Lang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012162
2 2017113
3 201931
4 202215
5 20239
6 19785
7 20232
8 20241
9 20241
10 20161

About Christopher Lang

Christopher Lang is a scholar working on Molecular Biology, Infectious Diseases, Urology, Public Health, Environmental and Occupational Health and Small Animals, having authored 10 papers that have together received 340 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Hair Growth and Disorders (2 papers), Mosquito-borne diseases and control (2 papers), Hedgehog Signaling Pathway Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Veterinary Medicine and Surgery (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Urology (47 citations), Cell Biology (113 citations), Health, Toxicology and Mutagenesis (68 citations), Dermatology (28 citations) and Small Animals (24 citations). Christopher Lang has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Wen‐Hui Lien, David Mandrell, Michael T. Simonich, Lisa Truong, Mushfiqur R. Sarker, Robert L. Tanguay, Chim Kei Chan, Thomas Klimkait, Mohamed Chami and Christian Mittelholzer. Their work appears in journals such as eLife, Veterinary Pathology, Nature Communications, Cancers and SLAS TECHNOLOGY.

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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