Amy Baumann

847 total citations
10 papers, 580 citations indexed

About

Amy Baumann is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Amy Baumann has authored 10 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Amy Baumann's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Peptidase Inhibition and Analysis (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Amy Baumann is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Peptidase Inhibition and Analysis (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Amy Baumann collaborates with scholars based in United States, Croatia and Germany. Amy Baumann's co-authors include Mark O. J. Olson, Attila Szebeni, W A Grasser, Vishwas Paralkar, Chikwendu Ibebunjo, Paul T. Wingfield, S M Wilhelm, Timothy J Housley, Peter K. Seperack and B.D. Mehrotra and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Amy Baumann

10 papers receiving 570 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amy Baumann United States 10 358 87 76 68 63 10 580
Anil D’Souza United States 11 319 0.9× 80 0.9× 38 0.5× 83 1.2× 130 2.1× 18 620
Masayuki Okada Japan 10 419 1.2× 84 1.0× 76 1.0× 55 0.8× 24 0.4× 11 632
E. Soravia United States 7 339 0.9× 64 0.7× 149 2.0× 55 0.8× 102 1.6× 7 584
Michal Dvořák Czechia 18 373 1.0× 90 1.0× 72 0.9× 47 0.7× 30 0.5× 33 661
Norihisa Kikuchi Japan 12 360 1.0× 153 1.8× 28 0.4× 31 0.5× 85 1.3× 20 750
Sergei F. Barbashov United States 7 380 1.1× 86 1.0× 105 1.4× 18 0.3× 52 0.8× 12 689
Derek Blair United States 14 279 0.8× 63 0.7× 93 1.2× 40 0.6× 72 1.1× 26 656
Nasséra Aouali Luxembourg 13 456 1.3× 122 1.4× 60 0.8× 30 0.4× 41 0.7× 15 676
K Hochstrasser Germany 11 201 0.6× 67 0.8× 73 1.0× 31 0.5× 74 1.2× 71 529
Robert S. Yamamoto United States 16 267 0.7× 107 1.2× 63 0.8× 15 0.2× 33 0.5× 46 756

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-authorship network of co-authors of Amy Baumann

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Baumann. A scholar is included among the top collaborators of Amy Baumann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy Baumann. Amy Baumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wiesner, Jürgen, Henrike Schmidtberg, R. Lehmann, et al.. (2016). Expression and characterization of a recombinant i‐type lysozyme from the harlequin ladybird beetle H armonia axyridis. Insect Molecular Biology. 25(3). 202–215. 18 indexed citations
2.
Lo, Kinyui Alice, et al.. (2011). Genome-Wide Profiling of H3K56 Acetylation and Transcription Factor Binding Sites in Human Adipocytes. PLoS ONE. 6(6). e19778–e19778. 43 indexed citations
3.
Bonnette, Peter C., Brett S. Robinson, Jeffrey C. Silva, et al.. (2010). Phosphoproteomic characterization of PYK2 signaling pathways involved in osteogenesis. Journal of Proteomics. 73(7). 1306–1320. 36 indexed citations
4.
Walker, Daniel P., Michael P. Zawistoski, Jiancheng Li, et al.. (2009). Sulfoximine-substituted trifluoromethylpyrimidine analogs as inhibitors of proline-rich tyrosine kinase 2 (PYK2) show reduced hERG activity. Bioorganic & Medicinal Chemistry Letters. 19(12). 3253–3258. 75 indexed citations
5.
Baumann, Amy, Chikwendu Ibebunjo, W A Grasser, & Vishwas Paralkar. (2003). Myostatin expression in age and denervation-induced skeletal muscle atrophy.. PubMed. 3(1). 8–16. 84 indexed citations
6.
Paralkar, Vishwas, W A Grasser, Amy Baumann, et al.. (2002). Regulation of BMP‐7 expression by retinoic acid and prostaglandin E2. Journal of Cellular Physiology. 190(2). 207–217. 51 indexed citations
7.
Szebeni, Attila, B.D. Mehrotra, Amy Baumann, et al.. (1997). Nucleolar Protein B23 Stimulates Nuclear Import of the HIV-1 Rev Protein and NLS-Conjugated Albumin. Biochemistry. 36(13). 3941–3949. 82 indexed citations
8.
Baumann, Amy, et al.. (1994). The nucleic acid binding activity of nucleolar protein B23.1 resides in its carboxyl-terminal end.. Journal of Biological Chemistry. 269(49). 30994–30998. 98 indexed citations
10.
Wilhelm, S M, Zhenhua Shao, Timothy J Housley, et al.. (1993). Matrix metalloproteinase-3 (stromelysin-1). Identification as the cartilage acid metalloprotease and effect of pH on catalytic properties and calcium affinity.. Journal of Biological Chemistry. 268(29). 21906–21913. 55 indexed citations

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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