Nida S. Khan

542 total citations
10 papers, 350 citations indexed

About

Nida S. Khan is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Nida S. Khan has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Nida S. Khan's work include Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (5 papers) and Polysaccharides and Plant Cell Walls (3 papers). Nida S. Khan is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (5 papers) and Polysaccharides and Plant Cell Walls (3 papers). Nida S. Khan collaborates with scholars based in United States and India. Nida S. Khan's co-authors include Jatin M. Vyas, Jenny M. Tam, Michael K. Mansour, Pia V. Kasperkovitz, Michael W. Seward, Jennifer L. Reedy, Anna Sokolovska, Lynda M. Stuart, Antoine Tanne and Christine Becker and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and The Journal of Infectious Diseases.

In The Last Decade

Nida S. Khan

10 papers receiving 349 citations

Peers

Nida S. Khan

EPIDE

ID

IMMUN

MB

PS

Allison K. Scherer United States

Steven de Jesus Carrion United States

Dirk Wartenberg Germany

Lori M. Neal United States

Katalin Csonka Hungary

Kyler Crawford United States

Hansjoerg Schild Germany

Tânia A. Costa Brazil

Maria Glória Teixeira Sousa Brazil

Simon Döhrmann United States

Allison K. Scherer United States

Nida S. Khan

158 ×0.9

EPIDE

199 ×1.2

ID

198 ×1.6

IMMUN

131 ×1.4

MB

18 ×0.5

PS

Citations per year, relative to Nida S. Khan Nida S. Khan (= 1×) peers Allison K. Scherer

Countries citing papers authored by Nida S. Khan

Since Specialization

Citations

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

Fields of papers citing papers by Nida S. Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nida S. Khan. 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 Nida S. Khan. The network helps show where Nida S. Khan may publish in the future.

Co-authorship network of co-authors of Nida S. Khan

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

All Works

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10 of 10 papers shown

1.

Dagher, Zeina, Shuying Xu, Nida S. Khan, et al.. (2018). Fluorescent Tracking of Yeast Division Clarifies the Essential Role of Spleen Tyrosine Kinase in the Intracellular Control of Candida glabrata in Macrophages. Frontiers in Immunology. 9. 1058–1058. 15 indexed citations

2.

Xu, Shuying, Marianela Feliu, Nida S. Khan, et al.. (2018). Biguanides enhance antifungal activity against Candida glabrata. Virulence. 9(1). 1150–1162. 17 indexed citations

3.

Khan, Nida S., Pia V. Kasperkovitz, Allison K. Timmons, et al.. (2016). Dectin-1 Controls TLR9 Trafficking to Phagosomes Containing β-1,3 Glucan. The Journal of Immunology. 196(5). 2249–2261. 40 indexed citations

4.

Truong-Bolduc, Q. C., Nida S. Khan, Jatin M. Vyas, & David C. Hooper. (2016). Tet38 Efflux Pump Affects Staphylococcus aureus Internalization by Epithelial Cells through Interaction with CD36 and Contributes to Bacterial Escape from Acidic and Nonacidic Phagolysosomes. Infection and Immunity. 85(2). 25 indexed citations

5.

Reedy, Jennifer L., Marianela Feliu, Nida S. Khan, et al.. (2016). The Carbohydrate Lectin Receptor Dectin-1 Mediates the Immune Response to Exserohilum rostratum. Infection and Immunity. 85(3). 9 indexed citations

6.

Tam, Jenny M., Michael K. Mansour, Nida S. Khan, et al.. (2014). Dectin-1–Dependent LC3 Recruitment to Phagosomes Enhances Fungicidal Activity in Macrophages. The Journal of Infectious Diseases. 210(11). 1844–1854. 80 indexed citations

7.

Mansour, Michael K., Jenny M. Tam, Nida S. Khan, et al.. (2013). Dectin-1 Activation Controls Maturation of β-1,3-Glucan-containing Phagosomes. Journal of Biological Chemistry. 288(22). 16043–16054. 61 indexed citations

8.

Tam, Jenny M., Michael K. Mansour, Nida S. Khan, Nicholas C. Yoder, & Jatin M. Vyas. (2011). Use of fungal derived polysaccharide-conjugated particles to probe Dectin-1 responses in innate immunity. Integrative Biology. 4(2). 220–227. 30 indexed citations

9.

Kasperkovitz, Pia V., et al.. (2011). Toll-Like Receptor 9 Modulates Macrophage Antifungal Effector Function during Innate Recognition of Candida albicans and Saccharomyces cerevisiae. Infection and Immunity. 79(12). 4858–4867. 43 indexed citations

10.

Artavanis‐Tsakonas, Katerina, Pia V. Kasperkovitz, Eliseo Papa, et al.. (2010). The Tetraspanin CD82 Is Specifically Recruited to Fungal and Bacterial Phagosomes prior to Acidification. Infection and Immunity. 79(3). 1098–1106. 30 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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