D.P. Francis

732 total citations
11 papers, 482 citations indexed

About

D.P. Francis is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Surgery. According to data from OpenAlex, D.P. Francis has authored 11 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Complementary and alternative medicine and 2 papers in Surgery. Recurrent topics in D.P. Francis's work include Cardiovascular and exercise physiology (5 papers), Heart Failure Treatment and Management (3 papers) and Cardiovascular Function and Risk Factors (3 papers). D.P. Francis is often cited by papers focused on Cardiovascular and exercise physiology (5 papers), Heart Failure Treatment and Management (3 papers) and Cardiovascular Function and Risk Factors (3 papers). D.P. Francis collaborates with scholars based in United Kingdom, United States and South Korea. D.P. Francis's co-authors include R Sutton, Charlotte Manisty, Z I Whinnett, Andrew J.S. Coats, Derek G. Gibson, Adam Scott, Kim H. Parker, Massimo Piepoli, Piotr Ponikowski and Alun D. Hughes and has published in prestigious journals such as Heart, European Journal of Heart Failure and International Journal of Cardiology.

In The Last Decade

D.P. Francis

11 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D.P. Francis United Kingdom	5	363	85	76	73	49	11	482
Z I Whinnett United Kingdom	4	369 1.0×	47 0.6×	50 0.7×	44 0.6×	46 0.9×	9	453
Angelo Caporotondi Italy	11	622 1.7×	71 0.8×	84 1.1×	149 2.0×	90 1.8×	22	731
Helen Walsh New Zealand	11	489 1.3×	72 0.8×	41 0.5×	44 0.6×	79 1.6×	21	614
P D Batin United Kingdom	11	446 1.2×	34 0.4×	92 1.2×	89 1.2×	27 0.6×	15	537
Carsten Schmalfuss United States	9	343 0.9×	30 0.4×	92 1.2×	110 1.5×	47 1.0×	21	514
J.-F. Aupetit France	8	698 1.9×	79 0.9×	110 1.4×	123 1.7×	52 1.1×	23	812
W. Kamke Germany	9	622 1.7×	69 0.8×	77 1.0×	81 1.1×	51 1.0×	17	759
Jin‐Long Huang Taiwan	18	940 2.6×	68 0.8×	57 0.8×	60 0.8×	58 1.2×	66	1.1k
The SOLVD Investigators United States	8	814 2.2×	33 0.4×	64 0.8×	96 1.3×	53 1.1×	9	922
Marek Klocek Poland	9	372 1.0×	47 0.6×	56 0.7×	81 1.1×	17 0.3×	39	467

Countries citing papers authored by D.P. Francis

Since Specialization

Citations

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

Fields of papers citing papers by D.P. Francis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.P. Francis

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

All Works

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11 of 11 papers shown

Jabbour, Richard J., Nay Aung, Hua Ling, et al.. (2012). 010 Multicentre validation of the adverse prognostic implications of declining serum albumin levels in chronic heart failure. Heart. 98(Suppl 1). A9.1–A9. 1 indexed citations

Baksi, A. John, Justin E. Davies, Nearchos Hadjiloizou, et al.. (2009). 5.5 DOES BEHAVIOUR OF THE REFLECTED WAVE IN HUMANS SUPPORT THE PREVAILING EXPLANATION OF THE ARTERIAL PRESSURE WAVEFORM?. Artery Research. 3(4). 156–156. 1 indexed citations

Parker, Kim H., et al.. (2008). What is the role of the aorta in directing coronary blood flow?. Heart. 94(12). 1545–1547. 49 indexed citations

Aguado‐Sierra, Jazmín, et al.. (2007). 09.04 A UNIFYING EXPLANATION OF THE AORTIC PULSE WAVEFORM IN HUMANS. Artery Research. 1(S1). S26–S26. 3 indexed citations

Whinnett, Z I, et al.. (2006). Limitations of the New York Heart Association functional classification system and self-reported walking distances in chronic heart failure. Heart. 93(4). 476–482. 313 indexed citations

Sharma, Rohit, et al.. (2004). Hemoglobin predicts survival in patients with chronic heart failure: A substudy of the ELITE II trial. ACC Current Journal Review. 13(12). 30–31. 3 indexed citations

Clark, Andrew L., Ceri Davies, D.P. Francis, & Andrew J.S. Coats. (2000). Ventilatory Capacity and Exercise Tolerance in Patients with Chronic Stable Heart Failure. European Journal of Heart Failure. 2(S1). 30–30. 1 indexed citations

Doehner, Wolfram, et al.. (2000). Changes in Metabolic and Cytokine Kinetics During Strenuous Exercise in Patients with Chronic Heart Failure. European Journal of Heart Failure. 2(S1). 67–68. 4 indexed citations

Davies, Ceri, D.P. Francis, Massimo Piepoli, et al.. (2000). Chronic heart failure in the elderly: value of cardiopulmonary exercise testing in risk stratification. Heart. 83(2). 147–151. 59 indexed citations

10.

Francis, D.P., Andrew J.S. Coats, & Derek G. Gibson. (1999). How high can a correlation coefficient be? Effects of limited reproducibility of common cardiological measures. International Journal of Cardiology. 69(2). 185–189. 39 indexed citations

11.

Meyer, Jerrold S., et al.. (1980). Regional cerebral blood flow in depression: a preliminary report.. PubMed. 41(12 Pt 2). 71–2. 9 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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