Jan M. Yates

1.2k total citations
13 papers, 508 citations indexed

About

Jan M. Yates is a scholar working on Education, Molecular Biology and General Health Professions. According to data from OpenAlex, Jan M. Yates has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Education, 2 papers in Molecular Biology and 2 papers in General Health Professions. Recurrent topics in Jan M. Yates's work include BRCA gene mutations in cancer (2 papers), Adipose Tissue and Metabolism (1 paper) and Genomics and Rare Diseases (1 paper). Jan M. Yates is often cited by papers focused on BRCA gene mutations in cancer (2 papers), Adipose Tissue and Metabolism (1 paper) and Genomics and Rare Diseases (1 paper). Jan M. Yates collaborates with scholars based in United States, United Kingdom and Malawi. Jan M. Yates's co-authors include Thomas W. MacFarland, Manjinder S. Sandhu, Hebe Gouda, Gurdeep S. Sagoo, Julian P. T. Higgins, Anne‐Helen Harding, Gwenyth R. Wallen, Georgie Cusack, Colleen M. McBride and Jean Jenkins and has published in prestigious journals such as American Journal of Epidemiology, Quality of Life Research and British Journal of Radiology.

In The Last Decade

Jan M. Yates

12 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan M. Yates United States	7	143	110	71	64	47	13	508
Susan Jeffries United States	10	104 0.7×	40 0.4×	78 1.1×	65 1.0×	119 2.5×	19	509
Joanne Kim Canada	14	85 0.6×	59 0.5×	60 0.8×	37 0.6×	19 0.4×	46	731
Thomas D. Berry United States	15	71 0.5×	132 1.2×	92 1.3×	76 1.2×	186 4.0×	39	939
Nayanah Siva India	12	302 2.1×	231 2.1×	60 0.8×	29 0.5×	18 0.4×	73	778
Lan Wang China	16	192 1.3×	33 0.3×	31 0.4×	47 0.7×	32 0.7×	74	929
Zhanglin Lin Cui United States	18	142 1.0×	40 0.4×	42 0.6×	145 2.3×	105 2.2×	85	1.1k
Margaret Lippincott United States	19	376 2.6×	178 1.6×	122 1.7×	33 0.5×	71 1.5×	32	1.1k
Adrian Burton Australia	13	79 0.6×	45 0.4×	79 1.1×	34 0.5×	7 0.1×	118	601
Michael A. Gallo United States	10	66 0.5×	21 0.2×	81 1.1×	85 1.3×	21 0.4×	28	946
Uzma Afzal Pakistan	10	199 1.4×	59 0.5×	23 0.3×	28 0.4×	15 0.3×	39	556

Countries citing papers authored by Jan M. Yates

Since Specialization

Citations

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

Fields of papers citing papers by Jan M. Yates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan M. Yates. 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 Jan M. Yates. The network helps show where Jan M. Yates may publish in the future.

Co-authorship network of co-authors of Jan M. Yates

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

All Works

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13 of 13 papers shown

Wilkinson, Louise, et al.. (2023). Should we share breast density information during breast cancer screening in the United Kingdom? an integrative review. British Journal of Radiology. 96(1152). 20230122–20230122. 1 indexed citations

MacFarland, Thomas W. & Jan M. Yates. (2021). Using R for Biostatistics. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations

MacFarland, Thomas W. & Jan M. Yates. (2016). Introduction to Nonparametric Statistics for the Biological Sciences Using R. CERN Document Server (European Organization for Nuclear Research). 186 indexed citations

Jenkins, Jean, Jan M. Yates, Georgie Cusack, et al.. (2012). Survey of Nursing Integration of Genomics Into Nursing Practice. Journal of Nursing Scholarship. 44(4). 428–436. 76 indexed citations

Wallen, Gwenyth R., Karen Baker, Marilyn Stolar, et al.. (2011). Palliative care outcomes in surgical oncology patients with advanced malignancies: a mixed methods approach. Quality of Life Research. 21(3). 405–415. 37 indexed citations

Wallen, Gwenyth R., et al.. (2010). Evaluating a hybrid web-based basic genetics course for health professionals. Nurse Education Today. 31(6). 638–642. 12 indexed citations

Gouda, Hebe, Gurdeep S. Sagoo, Anne‐Helen Harding, et al.. (2010). The Association Between the Peroxisome Proliferator-Activated Receptor-γ2 (PPARG2) Pro12Ala Gene Variant and Type 2 Diabetes Mellitus: A HuGE Review and Meta-Analysis. American Journal of Epidemiology. 171(6). 645–655. 166 indexed citations

Yates, Jan M., et al.. (2005). Are you asking the right admission questions when assessing dyspnea?. Heart & Lung. 34(4). 260–269. 7 indexed citations

Bowie, Cameron, et al.. (2004). Long-term planning to meet UK Government coronary heart disease revascularization targets. Health Services Management Research. 17(2). 132–140. 1 indexed citations

10.

Yates, Jan M.. (2003). Interactive Distance Learning in PreK-12 Settings: A Handbook of Possibilities. TU Digital Collections (Thammasat University). 2 indexed citations

11.

Yates, Jan M.. (2003). Interactive Distance Learning in PreK-12 Settings. Greenwood Publishing Group Inc. eBooks. 3 indexed citations

12.

Yates, Jan M.. (1992). An assessment of trends and factors affecting future directions in library and information science education. NSUWorks (Nova Southeastern University). 1 indexed citations

13.

Field, David, et al.. (1989). The demand for neonatal intensive care.. BMJ. 299(6711). 1305–1308. 12 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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