Camellia Adams

2.4k total citations
17 papers, 1.9k citations indexed

About

Camellia Adams is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Camellia Adams has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Camellia Adams's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Camellia Adams is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Camellia Adams collaborates with scholars based in United States, Switzerland and New Zealand. Camellia Adams's co-authors include Stanley N. Cohen, Leonard G. Presta, J. Thomas Beatty, Joel G. Belasco, G. Wesley Hatfield, Audrey D. Goddard, Zhenping Zhu, Paul Carter, Alexander von Gabain and Douglas C. Wallace and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Camellia Adams

17 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Camellia Adams United States 16 1.4k 823 356 321 246 17 1.9k
Peter U. Park United States 15 737 0.5× 504 0.6× 687 1.9× 132 0.4× 23 0.1× 39 1.8k
Elin Gunneriusson Sweden 17 1.2k 0.8× 1.1k 1.3× 284 0.8× 115 0.4× 192 0.8× 18 1.6k
James E. Stefano United States 15 892 0.6× 277 0.3× 253 0.7× 338 1.1× 117 0.5× 25 1.3k
Sallie O. Hoch United States 27 1.1k 0.7× 692 0.8× 101 0.3× 171 0.5× 65 0.3× 60 2.1k
Michael J. Mendez United States 13 734 0.5× 210 0.3× 102 0.3× 118 0.4× 34 0.1× 15 1.1k
Joost A. Kolkman Netherlands 14 580 0.4× 389 0.5× 109 0.3× 66 0.2× 42 0.2× 18 1.0k
Brian G. Van Ness United States 24 1.2k 0.9× 306 0.4× 405 1.1× 151 0.5× 15 0.1× 68 2.1k
Luis E. Fernández Cuba 31 1.1k 0.8× 577 0.7× 544 1.5× 85 0.3× 22 0.1× 70 2.2k
Karen Bunting United Kingdom 17 708 0.5× 137 0.2× 111 0.3× 206 0.6× 44 0.2× 26 1.2k
Django Sussman United States 18 1.0k 0.7× 476 0.6× 574 1.6× 150 0.5× 55 0.2× 33 1.6k

Countries citing papers authored by Camellia Adams

Since Specialization
Citations

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

Fields of papers citing papers by Camellia Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camellia Adams

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

All Works

17 of 17 papers shown
1.
French, Dorothy, Benjamin C. Lin, Man Ping Wang, et al.. (2012). Targeting FGFR4 Inhibits Hepatocellular Carcinoma in Preclinical Mouse Models. PLoS ONE. 7(5). e36713–e36713. 167 indexed citations
2.
Lu, Yanmei, Jean-Michel Vernes, Nancy Chiang, et al.. (2010). Identification of IgG1 variants with increased affinity to FcγRIIIa and unaltered affinity to FcγRI and FcRn: Comparison of soluble receptor-based and cell-based binding assays. Journal of Immunological Methods. 365(1-2). 132–141. 25 indexed citations
3.
Castellana, Natalie, Krista McCutcheon, Victoria C. Pham, et al.. (2010). Resurrection of a clinical antibody: Template proteogenomic de novo proteomic sequencing and reverse engineering of an anti‐lymphotoxin‐α antibody. PROTEOMICS. 11(3). 395–405. 27 indexed citations
4.
Yeung, Yik A., Maya K. Leabman, Jonathan S. Marvin, et al.. (2009). Engineering Human IgG1 Affinity to Human Neonatal Fc Receptor: Impact of Affinity Improvement on Pharmacokinetics in Primates. The Journal of Immunology. 182(12). 7663–7671. 186 indexed citations
5.
Adams, Camellia, David E. Allison, Kelly M. Flagella, et al.. (2005). Humanization of a recombinant monoclonal antibody to produce a therapeutic HER dimerization inhibitor, pertuzumab. Cancer Immunology Immunotherapy. 55(6). 717–727. 241 indexed citations
6.
Hong, Kyu, Leonard G. Presta, Yanmei Lu, et al.. (2004). Simple quantitative live cell and anti-idiotypic antibody based ELISA for humanized antibody directed to cell surface protein CD20. Journal of Immunological Methods. 294(1-2). 189–197. 22 indexed citations
7.
Vajdos, F.F., et al.. (2002). Comprehensive Functional Maps of the Antigen-binding Site of an Anti-ErbB2 Antibody Obtained with Shotgun Scanning Mutagenesis. Journal of Molecular Biology. 320(2). 415–428. 97 indexed citations
8.
Zhu, Zhenping, et al.. (1998). An efficient route to human bispecific IgG. Nature Biotechnology. 16(7). 677–681. 374 indexed citations
9.
Xie, Ming-Hong, et al.. (1997). Direct demonstration of MuSK involvement in acetylcholine receptor clustering through identification of agonist ScFv. Nature Biotechnology. 15(8). 768–771. 55 indexed citations
10.
Narro, Martha L., Camellia Adams, & Stanley N. Cohen. (1990). Isolation and characterization of Rhodobacter capsulatus mutants defective in oxygen regulation of the puf operon. Journal of Bacteriology. 172(8). 4549–4554. 30 indexed citations
11.
Adams, Camellia, et al.. (1989). Structural and functional analysis of transcriptional control of the Rhodobacter capsulatus puf operon. Journal of Bacteriology. 171(1). 473–482. 104 indexed citations
12.
13.
Belasco, Joel G., J. Thomas Beatty, Camellia Adams, Alexander von Gabain, & Stanley N. Cohen. (1985). Differential expression of photosynthesis genes in R. capsulata results from segmental differences in stability within the polycistronic rxcA transcript. Cell. 40(1). 171–181. 253 indexed citations
14.
Adams, Camellia & G. Wesley Hatfield. (1984). Effects of promoter strengths and growth conditions on copy number of transcription-fusion vectors.. Journal of Biological Chemistry. 259(12). 7399–7403. 118 indexed citations
15.
Wallace, Douglas C., Noëlynn Oliver, Hugues Blanc, & Camellia Adams. (1982). A System to Study Human Mitochondrial Genes: Application to Chloramphenicol Resistance. Cold Spring Harbor Monograph Archive. 12. 105–116. 3 indexed citations
16.
Wallace, Douglas C., Urvashi Surti, Camellia Adams, & Aron E. Szulman. (1982). Complete moles have paternal chromosomes but maternal mitochondrial DNA. Human Genetics. 61(2). 145–147. 49 indexed citations
17.
Blanc, Hugues, Camellia Adams, & Douglas C. Wallace. (1981). Different nucleotide changes in the large rRNA gene of the mitochondrial DNA confer chloramphenicol resistance on two human cell lines. Nucleic Acids Research. 9(21). 5785–5796. 64 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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