Ji G. Wang

2.6k total citations · 1 hit paper
9 papers, 1.9k citations indexed

About

Ji G. Wang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Ji G. Wang has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pharmacology. Recurrent topics in Ji G. Wang's work include Blood Pressure and Hypertension Studies (7 papers), Hormonal Regulation and Hypertension (6 papers) and Cardiovascular Health and Disease Prevention (4 papers). Ji G. Wang is often cited by papers focused on Blood Pressure and Hypertension Studies (7 papers), Hormonal Regulation and Hypertension (6 papers) and Cardiovascular Health and Disease Prevention (4 papers). Ji G. Wang collaborates with scholars based in Belgium, France and Poland. Ji G. Wang's co-authors include Jan A. Staessen, Robert Fagard, Lutgarde Thijs, Jerzy Gąsowski, Elly Den Hond, François Gueyffier, Karla Kerlikowske, Stuart Pocock, John Coope and Lisheng Liu and has published in prestigious journals such as The Lancet, Journal of Hypertension and Current Hypertension Reports.

In The Last Decade

Ji G. Wang

9 papers receiving 1.8k citations

Hit Papers

Risks of untreated and treated isolated systolic hyperten... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji G. Wang Belgium 6 1.6k 643 257 242 170 9 1.9k
R. Fagard Belgium 27 1.6k 1.0× 538 0.8× 276 1.1× 310 1.3× 146 0.9× 85 2.6k
Ji‐Guang Wang China 26 2.0k 1.2× 548 0.9× 321 1.2× 417 1.7× 92 0.5× 70 2.9k
Lucio Mos Italy 29 1.4k 0.8× 224 0.3× 251 1.0× 225 0.9× 215 1.3× 92 2.1k
Giovanni Cerasola Italy 28 1.2k 0.8× 425 0.7× 191 0.7× 227 0.9× 132 0.8× 93 2.0k
Roberto Gattobigio Italy 25 2.7k 1.7× 670 1.0× 196 0.8× 399 1.6× 127 0.7× 38 3.1k
M. Oleggini Italy 9 703 0.4× 1.1k 1.7× 182 0.7× 332 1.4× 247 1.5× 17 2.3k
L Graziadei Italy 8 730 0.4× 1.1k 1.7× 156 0.6× 247 1.0× 239 1.4× 14 2.1k
Tage Lysbo Svendsen Denmark 18 1.6k 1.0× 705 1.1× 160 0.6× 313 1.3× 171 1.0× 54 2.5k
Barrett W. Jeffers United States 15 1.3k 0.8× 854 1.3× 150 0.6× 232 1.0× 224 1.3× 26 1.9k
Toshio Kushiro Japan 23 1.0k 0.6× 431 0.7× 170 0.7× 382 1.6× 75 0.4× 108 1.8k

Countries citing papers authored by Ji G. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ji G. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji G. Wang. 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 Ji G. Wang. The network helps show where Ji G. Wang may publish in the future.

Co-authorship network of co-authors of Ji G. Wang

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

All Works

9 of 9 papers shown
1.
Staessen, Jan A., Lutgarde Thijs, Ji G. Wang, et al.. (2001). Follow-up of renal function in treated and untreated older patients with isolated systolic hypertension. Journal of Hypertension. 19(3). 511–519. 84 indexed citations
2.
Sareli, Pinhas, Elena Libhaber, Geoffrey Candy, et al.. (2001). Efficacy of Different Drug Classes Used to Initiate Antihypertensive Treatment in Black Subjects. Archives of Internal Medicine. 161(7). 965–965. 65 indexed citations
3.
Sareli, Pinhas, Elena Libhaber, Geoffrey Candy, et al.. (2001). Efficacy of Different Drug Classes Used to Initiate Antihypertensive Treatment in Black Subjects. 5 indexed citations
4.
Blacher, Jacques, Jan A. Staessen, Xavier Girerd, et al.. (2000). Pulse Pressure Not Mean Pressure Determines Cardiovascular Risk in Older Hypertensive Patients. Archives of Internal Medicine. 160(8). 1085–1085. 444 indexed citations
5.
Staessen, Jan A., Jerzy Gąsowski, Ji G. Wang, et al.. (2000). Risks of untreated and treated isolated systolic hypertension in the elderly: meta-analysis of outcome trials. The Lancet. 355(9207). 865–872. 794 indexed citations breakdown →
6.
Gąsowski, Jerzy, Ji G. Wang, & Jan A. Staessen. (1999). Clinical trials in isolated systolic hypertension. Current Hypertension Reports. 1(5). 387–393. 4 indexed citations
7.
Staessen, Jan A., Tatiana Kuznetsova, Ji G. Wang, et al.. (1999). M235T angiotensinogen gene polymorphism and cardiovascular renal risk. Journal of Hypertension. 17(1). 9–17. 189 indexed citations
8.
Staessen, Jan A., Jerzy Gąsowski, & Ji G. Wang. (1999). Treatment of isolated systolic hypertension in the elderly: evidence from three clinical trials. European Journal of Internal Medicine. 10(2). 82–87. 2 indexed citations
9.
Staessen, Jan A., Ji G. Wang, G Ginocchio, et al.. (1997). The deletion/insertion polymorphism of the angiotensin converting enzyme gene and cardiovascular-renal risk. Journal of Hypertension. 15(12). 1579–1592. 328 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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