Nicholas P. Ambulos

1.2k total citations
50 papers, 842 citations indexed

About

Nicholas P. Ambulos is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Nicholas P. Ambulos has authored 50 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Genetics and 10 papers in Ecology. Recurrent topics in Nicholas P. Ambulos's work include Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (10 papers) and Bacteriophages and microbial interactions (10 papers). Nicholas P. Ambulos is often cited by papers focused on Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (10 papers) and Bacteriophages and microbial interactions (10 papers). Nicholas P. Ambulos collaborates with scholars based in United States, Nigeria and Russia. Nicholas P. Ambulos's co-authors include Susan T. Lovett, A. James Mixson, Patricia Campbell, Jingsong Zhu, Qixin Leng, Walter Mulbry, Puthupparampil V. Scaria, E J Duvall, Ralph M. Pollack and Elizabeth J. Rogers and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Biochemistry.

In The Last Decade

Nicholas P. Ambulos

48 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas P. Ambulos United States 17 573 229 89 67 59 50 842
Sung-Kay Chiu Hong Kong 20 633 1.1× 176 0.8× 78 0.9× 156 2.3× 84 1.4× 44 1.0k
Hannes Loferer Switzerland 17 737 1.3× 234 1.0× 148 1.7× 91 1.4× 82 1.4× 30 1.0k
Alma Luísa Revilla Vázquez Mexico 15 614 1.1× 142 0.6× 37 0.4× 85 1.3× 27 0.5× 31 1.1k
Edoardo Sarubbi Italy 16 735 1.3× 261 1.1× 85 1.0× 87 1.3× 76 1.3× 34 1.1k
Ty Gould United States 10 958 1.7× 133 0.6× 59 0.7× 55 0.8× 57 1.0× 11 1.3k
Yanqiu Yuan China 15 526 0.9× 178 0.8× 117 1.3× 45 0.7× 51 0.9× 30 758
Cyril Dian France 16 491 0.9× 161 0.7× 53 0.6× 101 1.5× 156 2.6× 24 833
Peter Buckel Germany 16 837 1.5× 253 1.1× 73 0.8× 53 0.8× 110 1.9× 31 1.1k
Manman Guo China 15 397 0.7× 124 0.5× 47 0.5× 52 0.8× 43 0.7× 34 1.0k
Devan Phillips United States 5 587 1.0× 344 1.5× 113 1.3× 50 0.7× 51 0.9× 5 885

Countries citing papers authored by Nicholas P. Ambulos

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas P. Ambulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas P. Ambulos. 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 Nicholas P. Ambulos. The network helps show where Nicholas P. Ambulos may publish in the future.

Co-authorship network of co-authors of Nicholas P. Ambulos

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

All Works

20 of 20 papers shown
2.
Boyle, Joseph, Jimmie L. Slade, Yuji Zhang, et al.. (2024). Neighborhood Disadvantage and Prostate Tumor RNA Expression of Stress-Related Genes. JAMA Network Open. 7(7). e2421903–e2421903. 4 indexed citations
3.
Barry, Kathryn Hughes, Patricia Erıckson, Jianxin Shi, et al.. (2020). MYC DNA Methylation in Prostate Tumor Tissue is Associated with Gleason Score. Genes. 12(1). 12–12. 5 indexed citations
4.
Singh, Zeba N., Vu H. Duong, Rima Koka, et al.. (2018). High-risk acute promyelocytic leukemia with unusual T/myeloid immunophenotype successfully treated with ATRA and arsenic trioxide-based regimen. Journal of Hematopathology. 11(3). 67–74. 5 indexed citations
5.
Griffith, Kathleen A., Shijun Zhu, Meg Johantgen, et al.. (2017). Oxaliplatin-Induced Peripheral Neuropathy and Identification of Unique Severity Groups in Colorectal Cancer. Journal of Pain and Symptom Management. 54(5). 701–706.e1. 38 indexed citations
6.
Nowak, Rebecca G., Nicholas P. Ambulos, Lisa M. Schumaker, et al.. (2017). Genotyping of high-risk anal human papillomavirus (HPV): ion torrent-next generation sequencing vs. linear array. Virology Journal. 14(1). 112–112. 13 indexed citations
7.
Ambulos, Nicholas P., Lisa M. Schumaker, Ruth A. White, et al.. (2016). Next-Generation Sequencing-Based HPV Genotyping Assay Validated in Formalin-Fixed, Paraffin-Embedded Oropharyngeal and Cervical Cancer Specimens. Journal of Biomolecular Techniques JBT. 27(2). 46–52. 26 indexed citations
8.
Kundu, Namita, Patricia Campbell, Brian Hampton, et al.. (2011). Antimetastatic activity isolated from Colocasia esculenta (taro). Anti-Cancer Drugs. 23(2). 200–211. 44 indexed citations
9.
Wan, Yunhu, Stefani N. Thomas, Patricia Campbell, et al.. (2008). PhosphoScan: A Probability-Based Method for Phosphorylation Site Prediction Using MS2/MS3 Pair Information. Journal of Proteome Research. 7(7). 2803–2811. 29 indexed citations
10.
Leng, Qixin, et al.. (2007). Histidine-Lysine Peptides as Carriers of Nucleic Acids. Drug News & Perspectives. 20(2). 77–77. 43 indexed citations
11.
Barrows, Brian R., Agnes M. Azimzadeh, Stacey L. McCulle, et al.. (2006). Robust gene expression with amplified RNA from biopsy-sized human heart tissue. Journal of Molecular and Cellular Cardiology. 42(1). 260–264. 7 indexed citations
12.
Zhang, Lei, Nicholas P. Ambulos, & A. James Mixson. (2004). DNA Delivery to Cells in Culture Using Peptides. Humana Press eBooks. 245. 33–52. 12 indexed citations
13.
Medzihradszky, Katalin F., Nicholas P. Ambulos, Ashok Khatri, et al.. (2001). Mass spectrometry analysis for the determination of side reactions for cyclic peptides prepared from an Fmoc/tBu/Dmab protecting group strategy. International Journal of Peptide Research and Therapeutics. 8(1). 1–12. 1 indexed citations
14.
Radany, Eric H., et al.. (1997). Transfection enhancement in Bacillus subtilis displays features of a novel DNA repair pathway. Mutation Research/DNA Repair. 384(2). 107–120. 1 indexed citations
16.
Rogers, Elizabeth J., Nicholas P. Ambulos, Zhiping Gu, & Susan T. Lovett. (1993). Parallel induction strategies for cat‐86: separating chloramphenicol induction from protein synthesis inhibition. Molecular Microbiology. 8(6). 1063–1069. 6 indexed citations
17.
Ambulos, Nicholas P., et al.. (1991). Constitutive expression of cat-86 associated with a change in the transcription start point. Gene. 105(1). 113–117. 3 indexed citations
18.
Ambulos, Nicholas P., Skorn Mongkolsuk, Joshua D. Kaufman, & Susan T. Lovett. (1985). Chloramphenicol-induced translation of cat-86 mRNA requires two cis-acting regulatory regions. Journal of Bacteriology. 164(2). 696–703. 21 indexed citations
19.
Nicholson, Wayne L., Glenn H. Chambliss, Leonard Buckbinder, Nicholas P. Ambulos, & Susan T. Lovett. (1985). Isolation and expression of a constitutive variant of the chloramphenicol-inducible plasmid gene cat-86 under control of the Bacillus subtilis 168 amylase promoter. Gene. 35(1-2). 113–120. 13 indexed citations
20.
Ambulos, Nicholas P., Skorn Mongkolsuk, & Susan T. Lovett. (1985). A transciption termination signal immediately precedes the coding sequence for the chloramphenicol-inducible plasmid gene cat-86. Molecular and General Genetics MGG. 199(1). 70–75. 15 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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