Anissa Lakhani

468 total citations
9 papers, 276 citations indexed

About

Anissa Lakhani is a scholar working on Immunology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anissa Lakhani has authored 9 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Infectious Diseases and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anissa Lakhani's work include Immune cells in cancer (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Vector-borne infectious diseases (2 papers). Anissa Lakhani is often cited by papers focused on Immune cells in cancer (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Vector-borne infectious diseases (2 papers). Anissa Lakhani collaborates with scholars based in United Kingdom, United States and Israel. Anissa Lakhani's co-authors include Eric Martínez, Franck Cantet, Matteo Bonazzi, Delphine Muriaux, Naresh Yandrapalli, Isobel H. Norville, Cyril Favard, Aymeric Neyret, Frances R. Balkwill and Chiara Berlato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and Autophagy.

In The Last Decade

Anissa Lakhani

9 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anissa Lakhani United Kingdom 7 84 81 67 61 54 9 276
Virginie Gonzalez France 11 165 2.0× 80 1.0× 105 1.6× 17 0.3× 62 1.1× 16 363
R L Cranfill United States 8 11 0.1× 314 3.9× 85 1.3× 32 0.5× 88 1.6× 8 481
Shengjun Lu China 9 109 1.3× 225 2.8× 45 0.7× 137 2.2× 47 0.9× 18 381
L. Cristina Gavrilescu United States 10 315 3.8× 180 2.2× 120 1.8× 47 0.8× 30 0.6× 14 551
Arif A. Khan United States 16 36 0.4× 332 4.1× 131 2.0× 46 0.8× 44 0.8× 24 588
Selma Topçu France 8 46 0.5× 157 1.9× 61 0.9× 28 0.5× 184 3.4× 8 372
Junji Takeda Japan 4 139 1.7× 168 2.1× 111 1.7× 12 0.2× 25 0.5× 7 331
Michael Reuter Germany 6 10 0.1× 89 1.1× 218 3.3× 15 0.2× 46 0.9× 10 369
Bijaya Sharma United States 8 133 1.6× 67 0.8× 116 1.7× 133 2.2× 36 0.7× 16 401
Mignane Ka France 9 55 0.7× 364 4.5× 67 1.0× 264 4.3× 33 0.6× 14 500

Countries citing papers authored by Anissa Lakhani

Since Specialization
Citations

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

Fields of papers citing papers by Anissa Lakhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anissa Lakhani

This figure shows the co-authorship network connecting the top 25 collaborators of Anissa Lakhani. A scholar is included among the top collaborators of Anissa Lakhani 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 Anissa Lakhani. Anissa Lakhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Gopinathan, Ganga, Chiara Berlato, Anissa Lakhani, et al.. (2022). Immune Mechanisms of Resistance to Cediranib in Ovarian Cancer. Molecular Cancer Therapeutics. 21(6). 1030–1043. 7 indexed citations
2.
Tessier, Elise, Anissa Lakhani, Michael Edelstein, et al.. (2022). Characteristics associated with COVID-19 vaccine uptake among adults aged 50 years and above in England (8 December 2020–17 May 2021): a population-level observational study. BMJ Open. 12(3). e055278–e055278. 15 indexed citations
3.
Berlato, Chiara, Eleni Maniati, Anissa Lakhani, et al.. (2021). Chemotherapy Induces Tumor-Associated Macrophages that Aid Adaptive Immune Responses in Ovarian Cancer. Cancer Immunology Research. 9(6). 665–681. 38 indexed citations
4.
Whitaker, Heather, Suzanne Elgohari, Cathy Rowe, et al.. (2021). Impact of COVID-19 Vaccination Program on Seroprevalence in Blood Donors in England, 2021. SSRN Electronic Journal. 1 indexed citations
5.
Cantet, Franck, Erin J. van Schaik, Anissa Lakhani, et al.. (2020). Coxiella effector protein CvpF subverts RAB26-dependent autophagy to promote vacuole biogenesis and virulence. Autophagy. 17(3). 706–722. 32 indexed citations
6.
Maniati, Eleni, Chiara Berlato, Ganga Gopinathan, et al.. (2020). Mouse Ovarian Cancer Models Recapitulate the Human Tumor Microenvironment and Patient Response to Treatment. Cell Reports. 30(2). 525–540.e7. 66 indexed citations
7.
Maniati, Eleni, Chiara Berlato, Ganga Gopinathan, et al.. (2019). Mouse Ovarian Cancer Models Recapitulate the Human Tumor Microenvironment and Patient Response to Treatment. SSRN Electronic Journal. 1 indexed citations
8.
Martínez, Eric, Franck Cantet, Anissa Lakhani, et al.. (2016). Coxiella burnetii effector CvpB modulates phosphoinositide metabolism for optimal vacuole development. Proceedings of the National Academy of Sciences. 113(23). E3260–9. 91 indexed citations
9.
Abdellatif, Abdul, et al.. (2010). True vasculitis in lupus nephritis. Clinical Nephrology. 74(8). 106–112. 25 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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