Lango Sichizya

2.2k total citations
4 papers, 36 citations indexed

About

Lango Sichizya is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Lango Sichizya has authored 4 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 2 papers in Immunology and 1 paper in Molecular Biology. Recurrent topics in Lango Sichizya's work include Long-Term Effects of COVID-19 (3 papers), Immune cells in cancer (2 papers) and Extracellular vesicles in disease (1 paper). Lango Sichizya is often cited by papers focused on Long-Term Effects of COVID-19 (3 papers), Immune cells in cancer (2 papers) and Extracellular vesicles in disease (1 paper). Lango Sichizya collaborates with scholars based in United States and Japan. Lango Sichizya's co-authors include Hiam Abdala‐Valencia, G. R. Scott Budinger, Ziyan Lu, Alexander V. Misharin, Raul Piseaux‐Aillon, Satoshi Watanabe, Lynn C. Welch, Kinola J.N. Williams, Jacob I. Sznajder and Nikita Joshi and has published in prestigious journals such as Aging Cell and JCI Insight.

In The Last Decade

Lango Sichizya

4 papers receiving 36 citations

Peers

Lango Sichizya
Lango Sichizya
Citations per year, relative to Lango Sichizya Lango Sichizya (= 1×) peers Fatemeh Afrashteh

Countries citing papers authored by Lango Sichizya

Since Specialization
Citations

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

Fields of papers citing papers by Lango Sichizya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lango Sichizya

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

All Works

4 of 4 papers shown
1.
Grant, Rogan A., Taylor A. Poor, Lango Sichizya, et al.. (2024). Prolonged exposure to lung-derived cytokines is associated with activation of microglia in patients with COVID-19. JCI Insight. 9(8). 7 indexed citations
2.
Runyan, Constance E., Lynn C. Welch, Emilia Lecuona, et al.. (2020). Impaired phagocytic function in CX3CR1 + tissue‐resident skeletal muscle macrophages prevents muscle recovery after influenza A virus‐induced pneumonia in old mice. Aging Cell. 19(9). e13180–e13180. 27 indexed citations
4.
Maciel, Mariana, Saul Soberanes, Ziyan Lu, et al.. (2020). Mitochondrial Transcription Factor A (TFAM) Is Not Necessary for Alveolar Macrophage Survival and Function During Aging. A4391–A4391. 1 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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