Michael J. Lang

406 citations
5 papers · 214 · h-index 5

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Cellular transport and secretion 4
    • Protein Kinase Regulation and GTPase Signaling 2
    • Protein Degradation and Inhibitors 1
    • Fungal and yeast genetics research 1

Michael J. Lang

5 papers receiving 214 citations

Peers

Michael J. Lang
Comparison fields: 5 of 48
  • Physiology 52
  • Cell Biology 104
  • Aging 6
  • Epidemiology 57
  • Molecular Biology 125
Replace Melissa Hoyer with:
Melissa Hoyer United States
Yongqiang Deng United States
Gábor Glatz Hungary
Yukako Oe Japan
Zuriñe Antón Spain
Sabine Weys Austria
Amelie J. Müller Germany
Takayuki Shima Japan
Stephen Ireland United States
Raffaela Torggler Austria
Michael J. Lang relative to Melissa Hoyer United States Melissa Hoyer's profile →
Citations per field
00.5×2.9×
Melissa Hoyer · 1×
Citations per year

Countries citing papers authored by Michael J. Lang

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Michael J. 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 Michael J. Lang Line = papers co-authored together Michael J. Lang links everyone, so they are left out of the graph.

All Works

About Michael J. Lang

Michael J. Lang is a scholar working on Cell Biology, Molecular Biology, Pharmacology, Epidemiology and Computational Theory and Mathematics, having authored 5 papers that have together received 214 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Computational Drug Discovery Methods (1 paper), Protein Degradation and Inhibitors (1 paper), Autophagy in Disease and Therapy (1 paper), Fungal and yeast genetics research (1 paper), Calcium signaling and nucleotide metabolism (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Physiology (52 citations), Cell Biology (104 citations), Aging (6 citations), Epidemiology (57 citations) and Molecular Biology (125 citations). Michael J. Lang has collaborated with scholars based in United States and Austria. Frequent co-authors include Lois S. Weisman, Natsuko Jin, Mara C. Duncan, Laura R. Ganser, Jorge Y. Martínez-Márquez, Derek C. Prosser, Beverly Wendland, Malan Silva, Margaret V. Westfall and Markus Babst. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell and Biochemical Society Transactions.

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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