Kaja Abbas

78.4k total citations · 1 hit paper
74 papers, 1.3k citations indexed

About

Kaja Abbas is a scholar working on Epidemiology, Health and Infectious Diseases. According to data from OpenAlex, Kaja Abbas has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 24 papers in Health and 19 papers in Infectious Diseases. Recurrent topics in Kaja Abbas's work include Vaccine Coverage and Hesitancy (24 papers), COVID-19 epidemiological studies (18 papers) and Influenza Virus Research Studies (13 papers). Kaja Abbas is often cited by papers focused on Vaccine Coverage and Hesitancy (24 papers), COVID-19 epidemiological studies (18 papers) and Influenza Virus Research Studies (13 papers). Kaja Abbas collaborates with scholars based in United Kingdom, United States and Japan. Kaja Abbas's co-authors include Gloria J. Kang, Achla Marathe, Mark Jit, Samarth Swarup, James Schlitt, Armin R. Mikler, Allison Portnoy, Benjamin Mason Meier, Rifat Atun and Adriano Cattaneo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Lancet Infectious Diseases.

In The Last Decade

Kaja Abbas

67 papers receiving 1.3k citations

Hit Papers

Vaccine equity in low and middle income countries: a syst... 2022 2026 2023 2024 2022 25 50 75 100
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.

  1. Vaccine equity in low and middle income countries: a systematic review and meta-analysis
    2022 109 citations Susy Echeverría-Londoño, Xiang Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaja Abbas United Kingdom 19 513 444 271 226 187 74 1.3k
Mariano Martini Italy 21 328 0.6× 717 1.6× 507 1.9× 185 0.8× 194 1.0× 141 2.0k
Francesco Gesualdo Italy 26 332 0.6× 668 1.5× 233 0.9× 183 0.8× 242 1.3× 73 1.6k
Willem G. van Panhuis United States 21 271 0.5× 279 0.6× 282 1.0× 218 1.0× 329 1.8× 35 1.3k
Tafadzwa Dzinamarira South Africa 24 310 0.6× 358 0.8× 806 3.0× 332 1.5× 188 1.0× 205 1.9k
Jia Hu Canada 17 360 0.7× 238 0.5× 493 1.8× 151 0.7× 69 0.4× 70 1.3k
Amra Uzicanin United States 23 487 0.9× 811 1.8× 449 1.7× 737 3.3× 121 0.6× 76 2.1k
Katrin Kohl United States 24 368 0.7× 551 1.2× 696 2.6× 82 0.4× 285 1.5× 62 1.7k
Joseph Okeibunor Republic of the Congo 25 442 0.9× 281 0.6× 661 2.4× 191 0.8× 285 1.5× 158 1.8k
Clark C. Freifeld United States 17 396 0.8× 1.1k 2.5× 298 1.1× 353 1.6× 522 2.8× 19 2.2k
Oyelola A. Adegboye Australia 20 157 0.3× 247 0.6× 368 1.4× 414 1.8× 209 1.1× 116 1.7k

Countries citing papers authored by Kaja Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Kaja Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaja Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Kaja Abbas. A scholar is included among the top collaborators of Kaja Abbas 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 Kaja Abbas. Kaja Abbas 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.
Wang, Chaofan, Xiaozhen Lai, Kaja Abbas, et al.. (2025). Health impact and economic evaluation of the Expanded Program on Immunization in China from 1974 to 2024: a modelling study. The Lancet Public Health. 10(12). e1045–e1054. 1 indexed citations
2.
Lim, Ahyoung, Megan Auzenbergs, Andrew Clark, et al.. (2025). Global, regional and national burden of chikungunya: force of infection mapping and spatial modelling study. BMJ Global Health. 10(10). e018598–e018598.
3.
Mogasale, Vijayalaxmi V., Peixuan Zhang, Habib Hasan Farooqui, et al.. (2025). Burden of Antimicrobial Resistance in Culture-Confirmed Salmonella Typhi Isolates in India from 1977 to 2024: A Systematic Review and Meta-Analysis. SSRN Electronic Journal.
4.
5.
Frost, Isabel, Nichola R. Naylor, Yeon‐Hee Kim, et al.. (2025). Length of hospital stay and associated treatment costs for patients with susceptible and antibiotic-resistant Salmonella infections: a systematic review and meta-analysis. BMJ Open. 15(6). e092494–e092494. 2 indexed citations
6.
7.
Mogasale, Vijayalaxmi V., Jacob John, Habib Hasan Farooqui, et al.. (2024). Typhoid Conjugate Vaccine Implementation in India: A Review of Supportive Evidence. SSRN Electronic Journal. 1 indexed citations
8.
Mogasale, Vijayalaxmi V., Jacob John, Habib Hasan Farooqui, et al.. (2024). Typhoid conjugate vaccine implementation in India: A review of supportive evidence. Vaccine X. 21. 100568–100568.
9.
Holm, Marianne, et al.. (2023). Global and regional burden of attributable and associated bacterial antimicrobial resistance avertable by vaccination: modelling study. BMJ Global Health. 8(7). e011341–e011341. 34 indexed citations
10.
Cadarette, Daniel, et al.. (2023). The full health, economic, and social benefits of prospective Strep A vaccination. npj Vaccines. 8(1). 166–166. 8 indexed citations
11.
Lee, Jung-Seok, Vittal Mogasale, Jeffrey Cannon, et al.. (2023). The potential global cost-effectiveness of prospective Strep A vaccines and associated implementation efforts. npj Vaccines. 8(1). 128–128. 6 indexed citations
12.
Cannon, Jeffrey, Daniel Cadarette, David E. Bloom, et al.. (2023). Modeling the potential health impact of prospective Strep A vaccines. npj Vaccines. 8(1). 90–90. 10 indexed citations
13.
14.
Fu, Han, Kaja Abbas, Stefano Malvolti, et al.. (2023). Impact and cost-effectiveness of measles vaccination through microarray patches in 70 low-income and middle-income countries: mathematical modelling and early-stage economic evaluation. BMJ Global Health. 8(11). e012204–e012204. 11 indexed citations
15.
Portnoy, Allison, Kaja Abbas, Steven Sweet, Jane J. Kim, & Mark Jit. (2021). Projections of human papillomavirus (HPV) vaccination impact in Ethiopia, India, Nigeria and Pakistan: a comparative modelling study. BMJ Global Health. 6(11). e006940–e006940. 12 indexed citations
16.
Fu, Han, Kaja Abbas, Petra Klepac, et al.. (2021). Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries. BMC Medicine. 19(1). 11 indexed citations
17.
18.
Echeverría-Londoño, Susy, Xiang Li, Jaspreet Toor, et al.. (2021). How can the public health impact of vaccination be estimated?. BMC Public Health. 21(1). 2049–2049. 14 indexed citations
19.
Kang, Gloria J., Achla Marathe, Kevin Boyle, et al.. (2019). Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States. BMC Infectious Diseases. 19(1). 221–221. 20 indexed citations
20.
Kang, Gloria J., et al.. (2014). Epidemiological modeling of bovine brucellosis in India. PubMed. 2014. 6–10. 12 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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