Amy Baumann

847 citations
10 papers · 580 · h-index 10

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Signaling Pathways in Disease 1
    • TGF-β signaling in diseases 1
    • Histone Deacetylase Inhibitors Research 1
    • Peptidase Inhibition and Analysis 2

Amy Baumann

10 papers receiving 570 citations

Peers

Amy Baumann
Comparison fields: 5 of 89
  • Molecular Biology 358
  • Cancer Research 76
  • Hematology 48
  • Immunology and Allergy 26
  • Aging 7
Replace Laurence Guglielmi with:
Laurence Guglielmi France
Brian J. Aneskievich United States
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Osman Çen United States
Guillaume Morissette Canada
Yuangang Liu United States
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Akie Maehara Japan
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Amy Baumann relative to Laurence Guglielmi France Laurence Guglielmi's profile →
Citations per field
00.5×3.5×
Laurence Guglielmi · 1×
Citations per year

Countries citing papers authored by Amy Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Amy Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amy Baumann, 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 Amy Baumann Line = papers co-authored together Amy Baumann links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199498
2
Myostatin expression in age and denervation-induced skeletal muscle atrophy.
200384
3 199782
4 200975
5 199355
6 200251
7 201143
8 199338
9 201036
10 201618

About Amy Baumann

Amy Baumann is a scholar working on Molecular Biology, Oncology, Rheumatology, Immunology and Cancer Research, having authored 10 papers that have together received 580 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Protease and Inhibitor Mechanisms (2 papers), GDF15 and Related Biomarkers (2 papers), Peptidase Inhibition and Analysis (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Signaling Pathways in Disease (1 paper), TGF-β signaling in diseases (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Molecular Biology (358 citations), Cancer Research (76 citations), Hematology (48 citations), Immunology and Allergy (26 citations) and Aging (7 citations). Amy Baumann has collaborated with scholars based in United States, Croatia and Germany. Frequent co-authors include Mark O. J. Olson, Attila Szebeni, W A Grasser, Vishwas Paralkar, Chikwendu Ibebunjo, Timothy J Housley, Stephen A. Adam, S M Wilhelm, Paul T. Wingfield and Peter K. Seperack. Their work appears in journals such as Journal of Biological Chemistry, Journal of Proteomics, Journal of Cellular Physiology, Bioorganic & Medicinal Chemistry Letters and Biochemistry.

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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