Mome Mukherjee

1.5k total citations · 1 hit paper
23 papers, 955 citations indexed

About

Mome Mukherjee is a scholar working on General Health Professions, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mome Mukherjee has authored 23 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 8 papers in Physiology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mome Mukherjee's work include Asthma and respiratory diseases (8 papers), Global Health Care Issues (4 papers) and Mobile Health and mHealth Applications (4 papers). Mome Mukherjee is often cited by papers focused on Asthma and respiratory diseases (8 papers), Global Health Care Issues (4 papers) and Mobile Health and mHealth Applications (4 papers). Mome Mukherjee collaborates with scholars based in United Kingdom, United States and Canada. Mome Mukherjee's co-authors include Ulugbek Nurmatov, Claudia Pagliari, Bright I. Nwaru, Aziz Sheikh, Siew Hwa Lee, Liz Grant, Kathrin Cresswell, Susannah McLean, Akiko Hemmi and Ramyani Gupta and has published in prestigious journals such as PLoS ONE, Scientific Reports and Thorax.

In The Last Decade

Mome Mukherjee

22 papers receiving 926 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis

2015 308 citations Siew Hwa Lee, Ulugbek Nurmatov et al. Journal of Global Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mome Mukherjee United Kingdom	12	457	237	196	182	181	23	955
Max Moura de Oliveira Brazil	20	421 0.9×	92 0.4×	69 0.4×	82 0.5×	366 2.0×	53	1.2k
Carl Heneghan United Kingdom	19	389 0.9×	110 0.5×	65 0.3×	97 0.5×	307 1.7×	32	1.1k
Marcia Vervloet Netherlands	14	615 1.3×	80 0.3×	82 0.4×	118 0.6×	105 0.6×	51	1.5k
Siew Hwa Lee United Kingdom	10	433 0.9×	42 0.2×	66 0.3×	133 0.7×	95 0.5×	16	794
João Antônio de Queiroz Oliveira Brazil	12	622 1.4×	59 0.2×	64 0.3×	90 0.5×	181 1.0×	30	1.0k
Karice Hyun Australia	21	460 1.0×	73 0.3×	75 0.4×	135 0.7×	312 1.7×	109	1.7k
Maria Beatriz Moreira Alkmim Brazil	13	850 1.9×	66 0.3×	40 0.2×	160 0.9×	299 1.7×	36	1.3k
C. Jason Wang United States	18	230 0.5×	37 0.2×	76 0.4×	93 0.5×	196 1.1×	41	844
Meghan Mooney United States	16	278 0.6×	54 0.2×	41 0.2×	97 0.5×	246 1.4×	20	826
Lucas Goossens Netherlands	20	283 0.6×	172 0.7×	313 1.6×	106 0.6×	80 0.4×	54	994

Countries citing papers authored by Mome Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Mome Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mome Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Mome Mukherjee. A scholar is included among the top collaborators of Mome Mukherjee 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 Mome Mukherjee. Mome Mukherjee 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

Tibble, Holly, Andrew Bush, Steve Cunningham, et al.. (2025). Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research. BMJ Health & Care Informatics. 32(1). e101134–e101134.

Mukherjee, Mome, Cecilia Okusi, Filipa Ferreira, et al.. (2024). Deploying an asthma dashboard to support quality improvement across a nationally representative sentinel network of 7.6 million people in England. npj Primary Care Respiratory Medicine. 34(1). 18–18. 1 indexed citations

Campbell, Todd, Regula Furrer, Mome Mukherjee, et al.. (2024). Patient interest in and clinician reservations on polygenic embryo screening: a qualitative study of stakeholder perspectives. Journal of Assisted Reproduction and Genetics. 41(5). 1221–1231. 10 indexed citations

Mukherjee, Mome, et al.. (2024). Modifiable risk factors for asthma exacerbations during the COVID-19 pandemic: a population-based repeated cross-sectional study using the Research and Surveillance Centre primary care database. The Lancet Regional Health - Europe. 42. 100938–100938. 2 indexed citations

Mukherjee, Mome, et al.. (2022). Asthma in paediatric intensive care in England residents: observational study. Scientific Reports. 12(1). 1315–1315. 17 indexed citations

Mukherjee, Mome, et al.. (2022). Health Impact of Street Sweeps from the Perspective of Healthcare Providers. Journal of General Internal Medicine. 37(14). 3707–3714. 23 indexed citations

Mukherjee, Mome, Kathrin Cresswell, & Aziz Sheikh. (2021). Identifying strategies to overcome roadblocks to utilising near real-time healthcare and administrative data to create a Scotland-wide learning health system. Health Informatics Journal. 27(1). 1836613035–1836613035. 4 indexed citations

Hussain, Zain, Syed Ahmar Shah, Mome Mukherjee, & Aziz Sheikh. (2020). Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort. BMJ Open. 10(7). e036099–e036099. 10 indexed citations

Hammersley, Vicky, et al.. (2019). Development and implementation of a nurse-led allergy clinic model in primary care: feasibility trial protocol. npj Primary Care Respiratory Medicine. 29(1). 44–44. 1 indexed citations

10.

Gupta, Ramyani, Mome Mukherjee, Aziz Sheikh, & David P. Strachan. (2018). Persistent variations in national asthma mortality, hospital admissions and prevalence by socioeconomic status and region in England. Thorax. 73(8). 706–712. 47 indexed citations

11.

Mukherjee, Mome, Bright I. Nwaru, Ireneous N Soyiri, Ian Grant, & Aziz Sheikh. (2018). High health gain patients with asthma: a cross-sectional study analysing national Scottish data sets. npj Primary Care Respiratory Medicine. 28(1). 27–27. 5 indexed citations

12.

Scott, Philip, et al.. (2018). Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science. BMJ Health & Care Informatics. 25(2). 126–131. 23 indexed citations

13.

Mukherjee, Mome, Andrew Stoddart, Ramyani Gupta, et al.. (2016). The epidemiology, healthcare and societal burden and costs of asthma in the UK and its member nations: analyses of standalone and linked national databases. BMC Medicine. 14(1). 113–113. 202 indexed citations

14.

Mukherjee, Mome, Jeremy C Wyatt, Colin R Simpson, & Aziz Sheikh. (2016). Usage of allergy codes in primary care electronic health records: a national evaluation in Scotland. Allergy. 71(11). 1594–1602. 11 indexed citations

15.

Lee, Siew Hwa, Ulugbek Nurmatov, Bright I. Nwaru, et al.. (2015). Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis. Journal of Global Health. 6(1). 10401–10401. 308 indexed citations breakdown →

16.

Nwaru, Bright I., Mome Mukherjee, Ramyani Gupta, et al.. (2015). Challenges of harmonising data from UK national health surveys: a case study of attempts to estimate the UK prevalence of asthma. Journal of the Royal Society of Medicine. 108(11). 433–439. 6 indexed citations

17.

Mukherjee, Mome, Ramyani Gupta, Angela Farr, et al.. (2014). Estimating the incidence, prevalence and true cost of asthma in the UK: secondary analysis of national stand-alone and linked databases in England, Northern Ireland, Scotland and Wales—a study protocol. BMJ Open. 4(11). e006647–e006647. 21 indexed citations

18.

Nurmatov, Ulugbek, Siew Hwa Lee, Bright I. Nwaru, et al.. (2014). The effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Protocol for a systematic review and meta–analysis. Journal of Global Health. 4(1). 10407–10407. 32 indexed citations

19.

Gibbison, Ben, et al.. (2013). Ten years of asthma admissions to adult critical care units in England and Wales. BMJ Open. 3(9). e003420–e003420. 19 indexed citations

20.

McLean, Susannah, Aziz Sheikh, Kathrin Cresswell, et al.. (2013). The Impact of Telehealthcare on the Quality and Safety of Care: A Systematic Overview. PLoS ONE. 8(8). e71238–e71238. 176 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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