Chris Graham

3.2k total citations · 1 hit paper
51 papers, 2.3k citations indexed

About

Chris Graham is a scholar working on General Health Professions, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chris Graham has authored 51 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in General Health Professions, 12 papers in Molecular Biology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chris Graham's work include Patient Satisfaction in Healthcare (17 papers), Primary Care and Health Outcomes (10 papers) and Reproductive Biology and Fertility (9 papers). Chris Graham is often cited by papers focused on Patient Satisfaction in Healthcare (17 papers), Primary Care and Health Outcomes (10 papers) and Reproductive Biology and Fertility (9 papers). Chris Graham collaborates with scholars based in United Kingdom, United States and New Zealand. Chris Graham's co-authors include Peter W. H. Holland, Jonathan Slack, Nina Hillman, M. I. SHERMAN, J. B. Gurdon, Karen Arms, Steve Sizmur, Lindsey Richardson, Andrew Ward and Philip D. Bates and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Chris Graham

48 papers receiving 2.1k citations

Hit Papers

The induction of DNA synthesis by frog egg cytoplasm 1966 2026 1986 2006 1966 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Graham United Kingdom 21 1.2k 691 465 286 256 51 2.3k
M. Geoffrey Hayes United States 33 1.2k 1.0× 1.0k 1.5× 451 1.0× 400 1.4× 122 0.5× 95 3.9k
Sidney Emanuel Batista dos Santos Brazil 29 1.4k 1.2× 1.5k 2.2× 276 0.6× 137 0.5× 67 0.3× 219 3.7k
Ândrea Ribeiro‐dos‐Santos Brazil 31 1.7k 1.4× 1.4k 2.1× 310 0.7× 142 0.5× 61 0.2× 204 4.3k
Stephen Wood Canada 32 743 0.6× 796 1.2× 623 1.3× 976 3.4× 67 0.3× 134 3.8k
Ranjan Deka United States 44 2.1k 1.7× 3.4k 5.0× 373 0.8× 291 1.0× 75 0.3× 159 6.9k
Cynthia M. Beall United States 40 772 0.6× 3.5k 5.0× 482 1.0× 544 1.9× 138 0.5× 100 5.4k
Michèle Ramsay South Africa 37 1.8k 1.5× 2.0k 2.8× 424 0.9× 636 2.2× 112 0.4× 237 5.4k
Partha P. Majumder India 41 1.5k 1.3× 2.2k 3.1× 228 0.5× 180 0.6× 108 0.4× 220 5.8k
Michael Clinton United Kingdom 33 1.4k 1.2× 1.1k 1.6× 698 1.5× 122 0.4× 237 0.9× 94 3.0k
Antti Sajantila Finland 46 2.6k 2.2× 3.8k 5.5× 402 0.9× 236 0.8× 106 0.4× 198 7.2k

Countries citing papers authored by Chris Graham

Since Specialization
Citations

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

Fields of papers citing papers by Chris Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Graham. A scholar is included among the top collaborators of Chris Graham 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 Chris Graham. Chris Graham 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.
Crocker, Helen, David Cromwell, Alastair Gray, et al.. (2025). Patient-reported harm from NHS treatment or care, or the lack of access to care: a cross-sectional survey of general population prevalence, impact and responses. BMJ Quality & Safety. 35(1). 30–42. 1 indexed citations
3.
Wong, Eliza Lai‐Yi, Kailu Wang, Annie Wai-Ling Cheung, Chris Graham, & Eng‐Kiong Yeoh. (2023). Thinking beyond the virus: perspective of patients on the quality of hospital care before and during the COVID-19 pandemic. Frontiers in Public Health. 11. 1152054–1152054.
4.
Graham, Chris, et al.. (2021). Using Twitter Comments to Understand People’s Experiences of UK Health Care During the COVID-19 Pandemic: Thematic and Sentiment Analysis. Journal of Medical Internet Research. 23(10). e31101–e31101. 23 indexed citations
6.
Graham, Chris, et al.. (2018). An evaluation of a near real-time survey for improving patients’ experiences of the relational aspects of care: a mixed-methods evaluation. SHILAP Revista de lepidopterología. 6(15). 1–174. 16 indexed citations
7.
Kelly, Laura, et al.. (2018). The Relational Aspects of Care Questionnaire: item reduction and scoring using inpatient and accident and emergency data in England. Patient Related Outcome Measures. Volume 9. 173–181. 3 indexed citations
8.
Bertran, M.J., et al.. (2018). Spanish and Catalan translation, cultural adaptation and validation of the Picker Patient Experience Questionnaire-15. Journal of Healthcare Quality Research. 33(1). 10–17. 6 indexed citations
9.
Graham, Chris, et al.. (2017). Developing a User Reported Measure of Care Co-ordination. International Journal of Integrated Care. 17(1). 4–4. 9 indexed citations
10.
Graham, Chris. (2016). Incidence and impact of proxy response in measuring patient experience: secondary analysis of a large postal survey using propensity score matching. International Journal for Quality in Health Care. 28(2). 246–252. 13 indexed citations
11.
Joyner, David, et al.. (2015). Using Human Computation to Acquire Novel Methods for Addressing Visual Analogy Problems on Intelligence Tests. ICCC. 23–30. 9 indexed citations
12.
Graham, Chris. (2011). The elephant in the room: Self-determination. Aboriginal health worker. 35(5). 12. 3 indexed citations
13.
Graham, Chris. (2010). Telling whites what they want to hear: [Chris Graham on the trouble with Noel Pearson.]. 6. 1 indexed citations
14.
Shipley, Rebecca J., et al.. (2009). Theoretical exploration of blastocyst morphogenesis. The International Journal of Developmental Biology. 53(4). 447–457. 2 indexed citations
15.
Howell, Eric, Chris Graham, Alex Hoffman, et al.. (2007). Comparison of patients' assessments of the quality of stroke care with audit findings. BMJ Quality & Safety. 16(6). 450–455. 17 indexed citations
16.
Graham, Chris. (2000). Mammalian development in the UK (1950-1995). The International Journal of Developmental Biology. 44(1). 51–55. 10 indexed citations
17.
Saville, D. J., et al.. (1996). Tactical control of ovineCampylobacterabortion outbreaks with a bacterin. New Zealand Veterinary Journal. 44(2). 61–63. 6 indexed citations
18.
Costa, Teresa Helena Macedo da, D H Williamson, Andrew Ward, et al.. (1994). High plasma insulin-like growth factor-II and low lipid content in transgenic mice: measurements of lipid metabolism. Journal of Endocrinology. 143(3). 433–439. 41 indexed citations
19.
Graham, Chris, et al.. (1993). Publicising the bank and building societies Ombudsman schemes. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1 indexed citations
20.
Graham, Chris, et al.. (1974). In vitroactivation of mouse eggs. Development. 31(2). 497–512. 17 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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