Rijo M John

1.4k total citations
45 papers, 987 citations indexed

About

Rijo M John is a scholar working on Organizational Behavior and Human Resource Management, Physiology and General Health Professions. According to data from OpenAlex, Rijo M John has authored 45 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organizational Behavior and Human Resource Management, 18 papers in Physiology and 13 papers in General Health Professions. Recurrent topics in Rijo M John's work include Global Public Health Policies and Epidemiology (20 papers), Smoking Behavior and Cessation (18 papers) and Global Health Care Issues (10 papers). Rijo M John is often cited by papers focused on Global Public Health Policies and Epidemiology (20 papers), Smoking Behavior and Cessation (18 papers) and Global Health Care Issues (10 papers). Rijo M John collaborates with scholars based in India, United States and Republic of the Congo. Rijo M John's co-authors include Hadii M. Mamudu, Hana Ross, Wendy Max, Sreenivas P. Veeranki, Ahmed E Ogwell Ouma, Evan Blecher, Praveen Sinha, Dhirendra Narain Sinha, Amit Yadav and Hai‐Yen Sung and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and American Journal of Public Health.

In The Last Decade

Rijo M John

43 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rijo M John India	18	548	387	217	187	143	45	987
Corné van Walbeek South Africa	23	464 0.8×	421 1.1×	306 1.4×	285 1.5×	107 0.7×	71	1.3k
Christina Ciecierski United States	9	812 1.5×	443 1.1×	400 1.8×	300 1.6×	171 1.2×	21	1.4k
Evan Blecher United States	19	630 1.1×	408 1.1×	355 1.6×	245 1.3×	48 0.3×	32	1.2k
Michał Stokłosa United States	20	704 1.3×	261 0.7×	322 1.5×	172 0.9×	49 0.3×	48	1.2k
Mark Goodchild Switzerland	11	370 0.7×	227 0.6×	154 0.7×	169 0.9×	48 0.3×	21	737
Ce Shang United States	22	727 1.3×	232 0.6×	388 1.8×	156 0.8×	37 0.3×	99	1.1k
Luz Myriam Reynales-Shigematsu Mexico	24	989 1.8×	400 1.0×	538 2.5×	342 1.8×	105 0.7×	129	1.8k
Ayda Yürekli United States	11	422 0.8×	194 0.5×	232 1.1×	176 0.9×	23 0.2×	20	814
Alex C Liber United States	18	727 1.3×	112 0.3×	316 1.5×	145 0.8×	56 0.4×	57	1.0k
Trevor Woollery United States	8	460 0.8×	83 0.2×	269 1.2×	179 1.0×	95 0.7×	8	703

Countries citing papers authored by Rijo M John

Since Specialization

Citations

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

Fields of papers citing papers by Rijo M John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rijo M John

This figure shows the co-authorship network connecting the top 25 collaborators of Rijo M John. A scholar is included among the top collaborators of Rijo M John 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 Rijo M John. Rijo M John 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

John, Rijo M & Hana Ross. (2025). The impact of the GST reform on state-level tobacco use prevalence in India. Tobacco Control. tc–2024. 1 indexed citations

John, Rijo M, et al.. (2024). Economy-wide impact of a reduction in tobacco use in India. Tobacco Control. 34(6). 813–818.

Guindon, G. Emmanuel, et al.. (2023). Socioeconomic differences in the impact of prices and taxes on tobacco use in low- and middle-income countries–A systematic review. SHILAP Revista de lepidopterología. 3(9). e0002342–e0002342. 3 indexed citations

John, Rijo M, et al.. (2022). The Effect of Price and Tax Policies on the Decision to Smoke or Use Smokeless Tobacco in India. Prevention Science. 23(7). 1101–1114. 3 indexed citations

John, Rijo M, et al.. (2022). Price elasticity and affordability of aerated or sugar-sweetened beverages in India: implications for taxation. BMC Public Health. 22(1). 1372–1372. 8 indexed citations

Nazar, Gaurang P., Nitika Sharma, S M Abdullah, et al.. (2021). Impact of tobacco price and taxation on affordability andconsumption of tobacco products in the South-East AsiaRegion: A systematic review. Tobacco Induced Diseases. 19(December). 1–17. 17 indexed citations

John, Rijo M, et al.. (2020). Trends in affordability of tobacco products before and after the transition to GST in India. Tobacco Control. 30(2). 155–159. 14 indexed citations

Yang, Joshua, Hadii M. Mamudu, & Rijo M John. (2018). Incorporating a structural approach to reducing the burden of non-communicable diseases. Globalization and Health. 14(1). 66–66. 17 indexed citations

John, Rijo M, Amit Yadav, & Dhirendra Narain Sinha. (2018). Smokeless tobacco taxation. The Indian Journal of Medical Research. 148(1). 46–55. 19 indexed citations

10.

John, Rijo M, et al.. (2018). Estimated impact of the GST on tobacco products in India. Tobacco Control. 28(5). 506–512. 18 indexed citations

11.

John, Rijo M. (2018). Economic costs of diseases and deaths attributable to bidi smoking in India, 2017. Tobacco Control. 28(5). 513–518. 14 indexed citations

12.

Owusu, Daniel, et al.. (2018). Health-care provider intervention and utilization of cessation assistance in low- and middle-income countries. Tobacco Induced Diseases. 16(1). 1 indexed citations

13.

Veeranki, Sreenivas P., Rijo M John, James F. Thrasher, et al.. (2016). Age of smoking initiation among adolescents in Africa. International Journal of Public Health. 62(1). 63–72. 21 indexed citations

14.

Veeranki, Sreenivas P., Hadii M. Mamudu, Rijo M John, & Ahmed E Ogwell Ouma. (2015). Prevalence and correlates of tobacco use among school-going adolescents in Madagascar. SHILAP Revista de lepidopterología. 5(3). 239–239. 28 indexed citations

15.

Veeranki, Sreenivas P., Hadii M. Mamudu, Shimin Zheng, et al.. (2014). Secondhand Smoke Exposure Among Never-Smoking Youth in 168 Countries. Journal of Adolescent Health. 56(2). 167–173. 59 indexed citations

16.

John, Rijo M, Hadii M. Mamudu, & Alex C Liber. (2012). Socioeconomic Implications of Tobacco Use in Ghana. Nicotine & Tobacco Research. 14(10). 1205–1212. 23 indexed citations

17.

Jha, Prabhat, G. Emmanuel Guindon, Arindam Nandi, et al.. (2011). A rational taxation system of bidis and cigarettes to reduce smoking deaths in India. Economic and political weekly. 46(42). 44–51. 39 indexed citations

18.

John, Rijo M, et al.. (2009). Economic cost of tobacco use in India, 2004. Tobacco Control. 18(2). 138–143. 92 indexed citations

19.

John, Rijo M. (2008). Price Elasticity Estimates for Tobacco Products in India. Health Policy and Planning. 23(3). 200–209. 74 indexed citations

20.

John, Rijo M. (2004). Tobacco consumption patterns and its health implications in India. Health Policy. 71(2). 213–222. 53 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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