Paul H. Bauer

440 total citations
10 papers, 385 citations indexed

About

Paul H. Bauer is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Paul H. Bauer has authored 10 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Paul H. Bauer's work include Cancer, Hypoxia, and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). Paul H. Bauer is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). Paul H. Bauer collaborates with scholars based in United States, Austria and Switzerland. Paul H. Bauer's co-authors include Thomas L. Benjamin, Stephen C. Harrison, Cunqi Cui, Thilo Stehle, James A. DeCaprio, Stephen W. Wright, David Hageman, Judith L. Treadway, Lester D. McClure and Anthony Carlo and has published in prestigious journals such as Nucleic Acids Research, Journal of Virology and Biochemical Journal.

In The Last Decade

Paul H. Bauer

10 papers receiving 380 citations

Peers

Paul H. Bauer

MB

ONCOL

CR

OC

BIOCH

Pablo Ríos‐Marco Spain

Yoko Yoshikawa Japan

Kayoko Nishi United States

Jane S. Merkel United States

Sandra Tan Singapore

Ganesan Senthil Kumar United States

Wenguang Liang United States

Thilde Terkelsen Denmark

Benjamin C. Jennings United States

Rani Kunjithapatham United States

Pablo Ríos‐Marco Spain

Paul H. Bauer

289 ×1.1

MB

59 ×0.7

ONCOL

93 ×1.1

CR

51 ×1.2

OC

15 ×0.5

BIOCH

Citations per year, relative to Paul H. Bauer Paul H. Bauer (= 1×) peers Pablo Ríos‐Marco

Countries citing papers authored by Paul H. Bauer

Since Specialization

Citations

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

Fields of papers citing papers by Paul H. Bauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul H. Bauer. 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 H. Bauer. The network helps show where Paul H. Bauer may publish in the future.

Co-authorship network of co-authors of Paul H. Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of Paul H. Bauer. A scholar is included among the top collaborators of Paul H. Bauer 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 Paul H. Bauer. Paul H. Bauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Castanotto, Daniela, Min Lin, Claudia Kowolik, et al.. (2015). A cytoplasmic pathway for gapmer antisense oligonucleotide-mediated gene silencing in mammalian cells. Nucleic Acids Research. 43(19). 9350–9361. 70 indexed citations

2.

Chen, Tracy, Natasha M. Kablaoui, Sergei Timofeevski, et al.. (2009). Identification of small-molecule inhibitors of the JIP–JNK interaction. Biochemical Journal. 420(2). 283–296. 47 indexed citations

3.

Kuhn, Cyrille, et al.. (2007). Bipiperidinyl Carboxylic Acid Amides as Potent, Selective, and Functionally Active CCR4 Antagonists. Chemical Biology & Drug Design. 70(3). 268–272. 13 indexed citations

4.

Miret, Juan J., et al.. (2005). Multiplexed G-Protein–Coupled Receptor Ca2+ Flux Assays for High-Throughput Screening. SLAS DISCOVERY. 10(8). 780–787. 13 indexed citations

5.

Wright, Stephen W., Anthony Carlo, Dennis E. Danley, et al.. (2003). 3-(2-Carboxy-ethyl)-4,6-dichloro-1H-indole-2-carboxylic acid: an allosteric inhibitor of fructose-1,6-bisphosphatase at the AMP site. Bioorganic & Medicinal Chemistry Letters. 13(12). 2055–2058. 45 indexed citations

6.

Wright, Stephen W., Anthony Carlo, Maynard D. Carty, et al.. (2002). Anilinoquinazoline Inhibitors of Fructose 1,6-Bisphosphatase Bind at a Novel Allosteric Site: Synthesis, In Vitro Characterization, and X-ray Crystallography. Journal of Medicinal Chemistry. 45(18). 3865–3877. 73 indexed citations

7.

Wright, Stephen W., David Hageman, Lester D. McClure, et al.. (2001). Allosteric inhibition of fructose-1,6-bisphosphatase by anilinoquinazolines. Bioorganic & Medicinal Chemistry Letters. 11(1). 17–21. 34 indexed citations

8.

Bauer, Paul H., Cunqi Cui, Thilo Stehle, et al.. (2000). Discrimination between Sialic Acid-Containing Receptors and Pseudoreceptors Regulates Polyomavirus Spread in the Mouse. Journal of Virology. 74(12). 5746–5746. 3 indexed citations

9.

Bauer, Paul H., Cunqi Cui, Thilo Stehle, et al.. (1999). Discrimination between Sialic Acid-Containing Receptors and Pseudoreceptors Regulates Polyomavirus Spread in the Mouse. Journal of Virology. 73(7). 5826–5832. 78 indexed citations

10.

Kaiser, E., et al.. (1976). Lipid Composition of the Rat Kidney. The Nephron journals/Nephron journals. 17(1). 41–50. 9 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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