Michael World

3.8k total citations
41 papers, 2.4k citations indexed

About

Michael World is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Genetics. According to data from OpenAlex, Michael World has authored 41 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 12 papers in Physiology and 9 papers in Genetics. Recurrent topics in Michael World's work include Cardiovascular Effects of Exercise (7 papers), Adipose Tissue and Metabolism (7 papers) and Genetics and Physical Performance (6 papers). Michael World is often cited by papers focused on Cardiovascular Effects of Exercise (7 papers), Adipose Tissue and Metabolism (7 papers) and Genetics and Physical Performance (6 papers). Michael World collaborates with scholars based in United Kingdom, United States and Germany. Michael World's co-authors include Hugh Montgomery, Steve E. Humphries, Mick Jubb, Peter Clarkson, Saul Myerson, John Deanfield, Dudley J. Pennell, Alun G. Williams, Mark P. Rayson and Amanda J. Powe and has published in prestigious journals such as Nature, The Lancet and Circulation.

In The Last Decade

Michael World

40 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael World United Kingdom	20	1.1k	790	509	375	357	41	2.4k
Jens Haarbo Denmark	26	752 0.7×	896 1.1×	953 1.9×	152 0.4×	473 1.3×	91	3.4k
Paul Robach France	37	720 0.6×	2.1k 2.6×	895 1.8×	500 1.3×	411 1.2×	113	3.7k
David Brull United Kingdom	21	659 0.6×	434 0.5×	206 0.4×	126 0.3×	145 0.4×	33	2.2k
Mohammad F. Saad United States	19	292 0.3×	263 0.3×	846 1.7×	246 0.7×	73 0.2×	24	2.1k
Christopher S. Hayward Australia	26	1.5k 1.3×	184 0.2×	296 0.6×	80 0.2×	98 0.3×	71	2.8k
Koichiro Azuma Japan	24	335 0.3×	109 0.1×	1.2k 2.4×	271 0.7×	119 0.3×	47	2.2k
Jens Steen Nielsen Denmark	23	197 0.2×	185 0.2×	577 1.1×	78 0.2×	165 0.5×	75	1.7k
Sven Haufe Germany	21	335 0.3×	237 0.3×	607 1.2×	185 0.5×	30 0.1×	53	1.4k
Rosemary Bland United Kingdom	29	142 0.1×	534 0.7×	345 0.7×	80 0.2×	314 0.9×	48	3.1k
Shoichiro Nagasaka Japan	27	603 0.5×	192 0.2×	687 1.3×	90 0.2×	64 0.2×	112	2.8k

Countries citing papers authored by Michael World

Since Specialization

Citations

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

Fields of papers citing papers by Michael World

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael World

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

All Works

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20 of 20 papers shown

Dhamrait, Sukhbir, C. Maubaret, Ulrik Pedersen‐Bjergaard, et al.. (2016). Mitochondrial uncoupling proteins regulate angiotensin‐converting enzyme expression: crosstalk between cellular and endocrine metabolic regulators suggested by RNA interference and genetic studies. BioEssays. 38(S1). 6 indexed citations

World, Michael. (2013). Military nephrology: magnitude of rates of deterioration in renal function. Journal of the Royal Army Medical Corps. 159(2). 98–101. 1 indexed citations

Griveas, Ioannis, et al.. (2012). Adult Polycystic Kidney Disease: Who Needs Hospital Follow‐Up?. Artificial Organs. 36(7). 594–599. 4 indexed citations

Eleftheriou, Kyriacos I., J Rawal, John Payne, et al.. (2012). Bone structure and geometry in young men: The influence of smoking, alcohol intake and physical activity. Bone. 52(1). 17–26. 52 indexed citations

World, Michael. (2011). Military nephrology--what a civilian doctor should know. Clinical Kidney Journal. 4(3). 153–157. 4 indexed citations

Sohaib, S.M. Afzal, John Payne, Rajeev Shukla, et al.. (2009). Electrocardiographic (ECG) criteria for determining left ventricular mass in young healthy men; data from the LARGE Heart study. Journal of Cardiovascular Magnetic Resonance. 11(1). 2–2. 18 indexed citations

World, Michael & Thomas C. Booth. (2008). Iraq: the environmental challenge to HM Land Forces. Clinical Medicine. 8(4). 399–403. 8 indexed citations

World, Michael. (2008). Medicine and warfare: Spain 19361939. Clinical Medicine. 8(5). 554–555. 5 indexed citations

Flavell, David M., Saul Myerson, Michael World, et al.. (2006). Variation in the lipoprotein lipase gene influences exercise-induced left ventricular growth. Journal of Molecular Medicine. 84(2). 126–131. 6 indexed citations

10.

Payne, John, Kyriacos I. Eleftheriou, Emma Hawe, et al.. (2006). The association of left ventricular mass with blood pressure, cigarette smoking and alcohol consumption; data from the LARGE heart study. International Journal of Cardiology. 120(1). 52–58. 22 indexed citations

11.

World, Michael. (2004). Bioterrorism: the need to be prepared. Clinical Medicine. 4(2). 161–164. 5 indexed citations

12.

Dhamrait, Sukhbir, David Brull, Saul Myerson, et al.. (2003). Cortical bone resorption during exercise is interleukin-6 genotype-dependent. European Journal of Applied Physiology. 89(1). 21–25. 28 indexed citations

13.

Dhamrait, S, Richard Moulding, Ann Rumley, et al.. (2002). The Effect of Fibrinogen Genotype on Fibrinogen Levels after Strenuous Physical Exercise. Thrombosis and Haemostasis. 87(1). 37–41. 31 indexed citations

14.

Doney, Alex S. F., Bettina Fischer, Alastair M. Cumming, et al.. (2002). Haplotype analysis of the PPARγ Pro12Ala and C1431T variants reveals opposing associations with body weight. BMC Genetics. 3(1). 21–21. 108 indexed citations

15.

Woods, D. R., Michael World, Mark P. Rayson, et al.. (2001). Endurance enhancement related to the human angiotensin I-converting enzyme I-D polymorphism is not due to differences in the cardiorespiratory response to training. European Journal of Applied Physiology. 86(3). 240–244. 59 indexed citations

16.

Williams, Alun G., Mark P. Rayson, Mick Jubb, et al.. (2000). The ACE gene and muscle performance. Nature. 403(6770). 614–614. 227 indexed citations

17.

Montgomery, Hugh, Peter Clarkson, Maria Barnard, et al.. (1999). Angiotensin-converting-enzyme gene insertion/deletion polymorphism and response to physical training. The Lancet. 353(9152). 541–545. 188 indexed citations

18.

Clarkson, Peter, Hugh Montgomery, Michael Mullen, et al.. (1999). Exercise training enhances endothelial function in young men. Journal of the American College of Cardiology. 33(5). 1379–1385. 336 indexed citations

19.

Clarkson, Peter, Hugh Montgomery, Ann E. Donald, et al.. (1996). Exercise training enhances endothelial function in young men. Journal of the American College of Cardiology. 27(2). 288–288. 14 indexed citations

20.

World, Michael, et al.. (1984). ALCOHOL AND BODY WEIGHT. Alcohol and Alcoholism. 19(1). 1–6. 26 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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