Erida Gjini

659 total citations
29 papers, 316 citations indexed

About

Erida Gjini is a scholar working on Genetics, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Erida Gjini has authored 29 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 12 papers in Epidemiology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Erida Gjini's work include Evolution and Genetic Dynamics (16 papers), Evolutionary Game Theory and Cooperation (7 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Erida Gjini is often cited by papers focused on Evolution and Genetic Dynamics (16 papers), Evolutionary Game Theory and Cooperation (7 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Erida Gjini collaborates with scholars based in Portugal, France and United Kingdom. Erida Gjini's co-authors include Patrícia H. Brito, M. Gabriela M. Gomes, Daniel T. Haydon, Christina A. Cobbold, J. David Barry, Kevin B. Wood, Raquel Sá‐Leão, João S. Lopes, Caetano Souto-Maior and Vitaly V. Ganusov and has published in prestigious journals such as Nature Communications, Scientific Reports and The American Naturalist.

In The Last Decade

Erida Gjini

27 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erida Gjini Portugal 11 129 101 99 58 39 29 316
Taylor K. Paisie United States 9 59 0.5× 129 1.3× 38 0.4× 61 1.1× 13 0.3× 20 334
Leslie M. Mayo-Smith United States 11 57 0.4× 13 0.1× 111 1.1× 149 2.6× 6 0.2× 12 390
Glen R. Gallagher United States 9 76 0.6× 272 2.7× 83 0.8× 113 1.9× 28 0.7× 12 535
Carlos García‐Crespo Spain 10 37 0.3× 37 0.4× 92 0.9× 98 1.7× 6 0.2× 20 310
J. Meuwissen Netherlands 8 148 1.1× 241 2.4× 13 0.1× 46 0.8× 8 0.2× 9 470
Antonello Amendola Italy 10 45 0.3× 284 2.8× 78 0.8× 90 1.6× 47 1.2× 25 498
Rajita Menon United States 11 82 0.6× 27 0.3× 77 0.8× 230 4.0× 15 0.4× 20 382
Arthur E. Mongan Indonesia 9 35 0.3× 99 1.0× 9 0.1× 92 1.6× 14 0.4× 33 328
Gregory Raczniak United States 13 114 0.9× 85 0.8× 44 0.4× 245 4.2× 9 0.2× 20 436
Jimena Cortés Colombia 18 117 0.9× 304 3.0× 18 0.2× 194 3.3× 17 0.4× 45 703

Countries citing papers authored by Erida Gjini

Since Specialization
Citations

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

Fields of papers citing papers by Erida Gjini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erida Gjini

This figure shows the co-authorship network connecting the top 25 collaborators of Erida Gjini. A scholar is included among the top collaborators of Erida Gjini 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 Erida Gjini. Erida Gjini 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.
Gjini, Erida, et al.. (2025). Inference of Pairwise Interactions from Strain Frequency Data Across Settings and Context-Dependent Mutual Invasibilities. Bulletin of Mathematical Biology. 87(6). 82–82.
2.
Gjini, Erida, et al.. (2025). Unpacking fitness differences between two invaders in a multispecies context. Bulletin of Mathematical Biology. 87(9). 120–120.
3.
Wood, Kevin B., et al.. (2024). Modeling spatial evolution of multi-drug resistance under drug environmental gradients. PLoS Computational Biology. 20(5). e1012098–e1012098. 4 indexed citations
4.
Sirard, Jean‐Claude, et al.. (2024). Triggering Toll-Like Receptor 5 Signaling During Pneumococcal Superinfection Prevents the Selection of Antibiotic Resistance. The Journal of Infectious Diseases. 230(5). e1126–e1135. 3 indexed citations
5.
Gjini, Erida, et al.. (2024). Pneumococcus and the stress-gradient hypothesis: A trade-off links R0 and susceptibility to co-colonization across countries. Theoretical Population Biology. 156. 77–92. 2 indexed citations
6.
Gjini, Erida, et al.. (2023). Towards a mathematical understanding of invasion resistance in multispecies communities. Royal Society Open Science. 10(11). 231034–231034. 4 indexed citations
7.
Gjini, Erida, et al.. (2023). Quasi-neutral dynamics in a coinfection system with N strains and asymmetries along multiple traits. Journal of Mathematical Biology. 87(3). 48–48. 5 indexed citations
8.
9.
Singh, Sumnima, Jessica A. Thompson, Bahtiyar Yılmaz, et al.. (2021). Loss of α-gal during primate evolution enhanced antibody-effector function and resistance to bacterial sepsis. Cell Host & Microbe. 29(3). 347–361.e12. 14 indexed citations
10.
Gjini, Erida, et al.. (2020). Treatment timing shifts the benefits of short and long antibiotic treatment over infection. Evolution Medicine and Public Health. 2020(1). 249–263. 13 indexed citations
11.
Silva, Joana G., et al.. (2020). Cell Competition, the Kinetics of Thymopoiesis, and Thymus Cellularity Are Regulated by Double-Negative 2 to 3 Early Thymocytes. Cell Reports. 32(3). 107910–107910. 12 indexed citations
12.
Gjini, Erida, et al.. (2020). Predicting N-Strain Coexistence from Co-colonization Interactions: Epidemiology Meets Ecology and the Replicator Equation. Bulletin of Mathematical Biology. 82(11). 142–142. 9 indexed citations
13.
Gjini, Erida, et al.. (2020). Modeling Competitive Mixtures With the Lotka-Volterra Framework for More Complex Fitness Assessment Between Strains. Frontiers in Microbiology. 11. 572487–572487. 6 indexed citations
14.
Dionísio, Francisco, et al.. (2017). Transmission Fitness in Co-colonization and the Persistence of Bacterial Pathogens. Bulletin of Mathematical Biology. 79(9). 2068–2087. 5 indexed citations
15.
Gjini, Erida. (2017). Geographic variation in pneumococcal vaccine efficacy estimated from dynamic modeling of epidemiological data post-PCV7. Scientific Reports. 7(1). 3049–3049. 16 indexed citations
16.
Gomes, M. Gabriela M., Erida Gjini, João S. Lopes, Caetano Souto-Maior, & Carlota Rebelo. (2016). A theoretical framework to identify invariant thresholds in infectious disease epidemiology. Journal of Theoretical Biology. 395. 97–102. 6 indexed citations
17.
Gjini, Erida & M. Gabriela M. Gomes. (2015). Expanding vaccine efficacy estimation with dynamic models fitted to cross-sectional prevalence data post-licensure. Epidemics. 14. 71–82. 10 indexed citations
18.
Souto-Maior, Caetano, et al.. (2014). Unveiling Time in Dose-Response Models to Infer Host Susceptibility to Pathogens. PLoS Computational Biology. 10(8). e1003773–e1003773. 16 indexed citations
19.
Gjini, Erida, Daniel T. Haydon, J. David Barry, & Christina A. Cobbold. (2013). Revisiting the diffusion approximation to estimate evolutionary rates of gene family diversification. Journal of Theoretical Biology. 341. 111–122. 1 indexed citations
20.
Gjini, Erida, Daniel T. Haydon, J. David Barry, & Christina A. Cobbold. (2012). The Impact of Mutation and Gene Conversion on the Local Diversification of Antigen Genes in African Trypanosomes. Molecular Biology and Evolution. 29(11). 3321–3331. 9 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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