Carol Ramsay

483 total citations
18 papers, 382 citations indexed

About

Carol Ramsay is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Carol Ramsay has authored 18 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Carol Ramsay's work include Hormonal and reproductive studies (4 papers), Estrogen and related hormone effects (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Carol Ramsay is often cited by papers focused on Hormonal and reproductive studies (4 papers), Estrogen and related hormone effects (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Carol Ramsay collaborates with scholars based in United States, United Kingdom and Austria. Carol Ramsay's co-authors include David T. Yang, William L. Roberts, William E. Owen, Robert C. Doss, Patrick M. Sluss, Hui Xie, Jeffrey R. Fishpaugh, Linda M. Thienpont, Katleen Van Uytfanghe and Alan L. Rockwood and has published in prestigious journals such as Analytical Chemistry, The FASEB Journal and Clinical Chemistry.

In The Last Decade

Carol Ramsay

18 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carol Ramsay United States	9	174	105	89	64	41	18	382
Stuart Blincko United Kingdom	7	195 1.1×	85 0.8×	100 1.1×	36 0.6×	71 1.7×	11	384
H P Field United Kingdom	10	266 1.5×	117 1.1×	143 1.6×	38 0.6×	74 1.8×	14	476
E. Youssefnejadian United Kingdom	9	84 0.5×	63 0.6×	64 0.7×	82 1.3×	65 1.6×	22	358
MARION L. CAWOOD United Kingdom	7	155 0.9×	50 0.5×	86 1.0×	54 0.8×	43 1.0×	13	320
Ian F. Sommerville United Kingdom	13	139 0.8×	70 0.7×	87 1.0×	99 1.5×	61 1.5×	21	410
C. Allan Woolever Canada	13	164 0.9×	78 0.7×	73 0.8×	227 3.5×	55 1.3×	32	439
F. Franceschetti Italy	11	157 0.9×	66 0.6×	170 1.9×	100 1.6×	133 3.2×	22	499
Zhimin Cao United States	11	111 0.6×	92 0.9×	32 0.4×	47 0.7×	33 0.8×	20	306
G. V. Groom United Kingdom	12	209 1.2×	47 0.4×	84 0.9×	87 1.4×	72 1.8×	25	445
Scott Gillingwater United Kingdom	7	214 1.2×	62 0.6×	34 0.4×	18 0.3×	23 0.6×	10	348

Countries citing papers authored by Carol Ramsay

Since Specialization

Citations

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

Fields of papers citing papers by Carol Ramsay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Ramsay

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Ruan, Qiaoqiao, Cheng Zhao, Carol Ramsay, & Sergey Y. Tetin. (2018). Characterization of Fluorescently Labeled Protein with Electrospray Ionization-MS and Fluorescence Spectroscopy: How Random is Random Labeling?. Analytical Chemistry. 90(16). 9695–9699. 2 indexed citations

Longenecker, Kenton L., et al.. (2016). Cysteinylation of a monoclonal antibody leads to its inactivation. mAbs. 8(4). 718–725. 23 indexed citations

Zhao, Cheng, et al.. (2014). Epitope mapping and targeted quantitation of the cardiac biomarker troponin by SID‐MRM mass spectrometry. PROTEOMICS. 14(11). 1311–1321. 16 indexed citations

Berger, Patrick, Elisabeth Paus, Philip M. Hemken, et al.. (2013). Candidate epitopes for measurement of hCG and related molecules: the second ISOBM TD-7 workshop. Tumor Biology. 34(6). 4033–4057. 25 indexed citations

Rae, Tracey, et al.. (2011). A comparative analysis of native neutrophil gelatinase‐associated lipocalin (NGAL) protein isolated from various human source matrices. The FASEB Journal. 25(S1). 1 indexed citations

Chi, Lianli, et al.. (2011). Introduction of the Mass Spread Function for Characterization of Protein Conjugates. Analytical Chemistry. 84(2). 1172–1177. 6 indexed citations

Grote, Jonathan, et al.. (2010). Development of an Abbott ARCHITECT cyclosporine immunoassay without metabolite cross-reactivity. Clinical Biochemistry. 43(13-14). 1152–1157. 6 indexed citations

Zhao, Cheng, et al.. (2010). Structural characterization of glycoprotein NGAL, an early predictive biomarker for acute kidney injury. Carbohydrate Research. 345(15). 2252–2261. 17 indexed citations

Muerhoff, A. Scott, et al.. (2009). Microheterogeneous monoclonal antibody subspecies with differential hepatitis C virus core antigen binding properties identified by SEC-HPLC. Journal of Immunological Methods. 345(1-2). 60–69. 3 indexed citations

10.

Thienpont, Linda M., Katleen Van Uytfanghe, Stuart Blincko, et al.. (2008). State-of-the-Art of Serum Testosterone Measurement by Isotope Dilution–Liquid Chromatography– Tandem Mass Spectrometry. Clinical Chemistry. 54(8). 1290–1297. 113 indexed citations

11.

Sluss, Patrick M., Frances J. Hayes, Judith Adams, et al.. (2007). Mass spectrometric and physiological validation of a sensitive, automated, direct immunoassay for serum estradiol using the Architect®. Clinica Chimica Acta. 388(1-2). 99–105. 35 indexed citations

12.

Yang, David T., et al.. (2004). Performance Characteristics of Eight Estradiol Immunoassays. American Journal of Clinical Pathology. 122(3). 332–337. 53 indexed citations

13.

Yang, David T., William E. Owen, Carol Ramsay, Hui Xie, & William L. Roberts. (2004). Performance Characteristics of Eight Estradiol Immunoassays. American Journal of Clinical Pathology. 122(3). 332–337. 53 indexed citations

14.

Wu, Huaiqin, et al.. (2002). Serum Estradiol Quantified by Isotope Dilution–Gas Chromatography/Mass Spectrometry. Clinical Chemistry. 48(2). 364–366. 17 indexed citations

15.

Ramsay, Carol, et al.. (1991). Shrink to fit. 2(6). 28–30. 5 indexed citations

16.

Ramsay, Carol, et al.. (1990). Oscillometric instrument for the Non-invasive detection of low-level microbial Activity. Part 2: growth characteristics, detection Limits and impedimetric assays. Biosensors and Bioelectronics. 5(4). 273–289. 3 indexed citations

17.

Clarke, David, et al.. (1990). Oscillometric instrument for the non-invasive detection of low-level microbial activity. Part I: Apparatus. Biosensors and Bioelectronics. 5(3). 235–258. 2 indexed citations

18.

Ramsay, Carol, et al.. (1972). SECTION OF DERMATOLOGY. British Journal of Dermatology. 87(4). 396–398. 2 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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