Gene Bukhman

17.7k total citations · 2 hit papers
77 papers, 2.1k citations indexed

About

Gene Bukhman is a scholar working on Organizational Behavior and Human Resource Management, Epidemiology and Finance. According to data from OpenAlex, Gene Bukhman has authored 77 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Organizational Behavior and Human Resource Management, 20 papers in Epidemiology and 18 papers in Finance. Recurrent topics in Gene Bukhman's work include Global Public Health Policies and Epidemiology (27 papers), Healthcare Systems and Reforms (18 papers) and Global Maternal and Child Health (16 papers). Gene Bukhman is often cited by papers focused on Global Public Health Policies and Epidemiology (27 papers), Healthcare Systems and Reforms (18 papers) and Global Maternal and Child Health (16 papers). Gene Bukhman collaborates with scholars based in United States, Rwanda and South Africa. Gene Bukhman's co-authors include Ana Olga Mocumbi, Karen Sliwa, Matthew F. Yuyun, André Pascal Kengne, Ali H. Mokdad, Gene F. Kwan, David Watkins, Bongani M. Mayosi, Andrea Beaton and Samantha Colquhoun and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Gene Bukhman

72 papers receiving 2.1k citations

Hit Papers

Global, Regional, and National Burden of Rheumatic Heart ... 2017 2026 2020 2023 2017 2020 200 400 600

Peers

Gene Bukhman
Ana Olga Mocumbi Mozambique
Gene Bukhman
Citations per year, relative to Gene Bukhman Gene Bukhman (= 1×) peers Ana Olga Mocumbi

Countries citing papers authored by Gene Bukhman

Since Specialization
Citations

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

Fields of papers citing papers by Gene Bukhman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Bukhman

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Bukhman. A scholar is included among the top collaborators of Gene Bukhman 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 Gene Bukhman. Gene Bukhman 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
1.
Kwan, Gene F., Michel Ibrahim, Lisa R. Hirschhorn, et al.. (2024). Heart Failure Care Facilitators and Barriers in Rural Haiti: A Qualitative Study. Annals of Global Health. 90(1). 60–60.
3.
Kachimanga, Chiyembekezo, Alexandra V. Kulinkina, Gene Bukhman, et al.. (2024). Non-communicable disease care in Sierra Leone: a mixed-methods study of the drivers and barriers to retention in care for hypertension. BMJ Open. 14(2). e077326–e077326. 1 indexed citations
4.
Kachimanga, Chiyembekezo, et al.. (2023). Decentralized Heart Failure Management in Neno, Malawi. Global Heart. 18(1). 35–35. 3 indexed citations
5.
Eberly, Lauren A., Ye Tian, Ashwin S. Nathan, et al.. (2023). Cardiovascular Disease Burden and Outcomes Among American Indian and Alaska Native Medicare Beneficiaries. JAMA Network Open. 6(9). e2334923–e2334923. 21 indexed citations
6.
Olds, Peter, et al.. (2023). Non-communicable disease burden among inpatients at a rural district hospital in Malawi. Global Health Research and Policy. 8(1). 4–4. 9 indexed citations
7.
Karthikeyan, Ganesan, David Watkins, Gene Bukhman, et al.. (2023). Research priorities for the secondary prevention and management of acute rheumatic fever and rheumatic heart disease: a National Heart, Lung, and Blood Institute workshop report. BMJ Global Health. 8(Suppl 9). e012468–e012468. 2 indexed citations
8.
Ngoga, Gedeon, Symaque Dusabeyezu, Bethany Hedt‐Gauthier, et al.. (2022). Feasibility and effectiveness of self-monitoring of blood glucose among insulin-dependent patients with type 2 diabetes: open randomized control trial in three rural districts in Rwanda. BMC Endocrine Disorders. 22(1). 244–244. 6 indexed citations
9.
Rajbhandari, Ruma, et al.. (2022). Crohn’s Disease Among the Poorest Billion: Burden of Crohn’s Disease in Low- and Lower-Middle-Income Countries. Digestive Diseases and Sciences. 68(4). 1226–1236. 12 indexed citations
10.
Haakenstad, Annie, Matthew M Coates, Gene Bukhman, Margaret McConnell, & Stéphane Verguet. (2022). Comparative health systems analysis of differences in the catastrophic health expenditure associated with non-communicable vs communicable diseases among adults in six countries. Health Policy and Planning. 37(9). 1107–1115. 14 indexed citations
11.
Koirala, Bhagawan, Shiva Raj Adhikari, Akina Shrestha, et al.. (2022). A National Equity Initiative to Address Noncommunicable Diseases and Injuries: Findings and Recommendation from the Nepal NCDI Poverty Commission. Kathmandu University Medical Journal. 20(3). 376–383. 3 indexed citations
12.
Adler, Alma J, Celina Trujillo, Emily B Wroe, et al.. (2022). Protocol for a feasibility randomised control trial for continuous glucose monitoring in patients with type 1 diabetes at first-level hospitals in rural Malawi. BMJ Open. 12(2). e052134–e052134. 2 indexed citations
13.
Trujillo, Celina, Gedeon Ngoga, Amy McLaughlin, et al.. (2022). Evaluating implementation of Diabetes Self-Management Education in Maryland County, Liberia: protocol for a pilot prospective cohort study. BMJ Open. 12(10). e060592–e060592. 1 indexed citations
15.
Wroe, Emily B, Noel Kalanga, Elizabeth Dunbar, et al.. (2020). Expanding access to non-communicable disease care in rural Malawi: outcomes from a retrospective cohort in an integrated NCD–HIV model. BMJ Open. 10(10). e036836–e036836. 37 indexed citations
16.
Yan, Lily D., Lisa R. Hirschhorn, Patricia L. Hibberd, et al.. (2020). Does distance from a clinic and poverty impact visit adherence for noncommunicable diseases? A retrospective cohort study using electronic medical records in rural Haiti. BMC Public Health. 20(1). 1545–1545. 5 indexed citations
17.
Haakenstad, Annie, Matthew M Coates, Andrew Marx, Gene Bukhman, & Stéphane Verguet. (2019). Disaggregating catastrophic health expenditure by disease area: cross-country estimates based on the World Health Surveys. BMC Medicine. 17(1). 36–36. 21 indexed citations
18.
Ngoga, Gedeon, Ryan Borg, Gene Bukhman, et al.. (2019). Outcomes of decentralizing hypertension care from district hospitals to health centers in Rwanda, 2013–2014. Public Health Action. 9(4). 142–147. 9 indexed citations
19.
Kwan, Gene F., Fèrnet Leandre, Emelia J. Benjamin, et al.. (2016). Descriptive epidemiology and short-term outcomes of heart failure hospitalisation in rural Haiti. Heart. 102(2). 140–146. 23 indexed citations
20.
Bukhman, Gene, Ana Olga Mocumbi, & Richard Horton. (2015). Reframing NCDs and injuries for the poorest billion: a Lancet Commission. The Lancet. 386(10000). 1221–1222. 41 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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