Sayma Rahman

434 total citations
8 papers, 341 citations indexed

About

Sayma Rahman is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Sayma Rahman has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Sayma Rahman's work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers) and vaccines and immunoinformatics approaches (2 papers). Sayma Rahman is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers) and vaccines and immunoinformatics approaches (2 papers). Sayma Rahman collaborates with scholars based in Sweden, Ethiopia and United Kingdom. Sayma Rahman's co-authors include Jan Andersson, Joshua Fink, Susanna Brighenti, Mattias Svensson, Susanna Grundström, Arina Samarina, Robert Blomgran, Limin Zheng, Alexander Persson and Olle Stendahl and has published in prestigious journals such as American Journal Of Pathology, Infection and Immunity and Microbes and Infection.

In The Last Decade

Sayma Rahman

8 papers receiving 326 citations

Peers

Sayma Rahman

ID

IMMUN

EPIDE

SURGE

MB

Arina Samarina Sweden

Howard Doo United States

Iskandar Adnan Netherlands

Alexander V. Panteleev Russia

Oliver Prince United States

Yolanda W. Ng United States

Jonathan Kevin Sia United States

Vijayalakshmi Valluri India

Joaquín Miguel Pellegrini Argentina

Paramasivam Selvaraj India

Arina Samarina Sweden

Sayma Rahman

161 ×0.7

ID

142 ×1.0

IMMUN

122 ×0.8

EPIDE

37 ×0.5

SURGE

51 ×0.9

MB

Citations per year, relative to Sayma Rahman Sayma Rahman (= 1×) peers Arina Samarina

Countries citing papers authored by Sayma Rahman

Since Specialization

Citations

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

Fields of papers citing papers by Sayma Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayma Rahman

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

All Works

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8 of 8 papers shown

1.

Ashenafi, Senait, Jagadeeswara Rao Muvva, Akhirunnesa Mily, et al.. (2022). Immunosuppressive Features of the Microenvironment in Lymph Nodes Granulomas from Tuberculosis and HIV–Co-Infected Patients. American Journal Of Pathology. 192(4). 653–670. 9 indexed citations

2.

Rane, Lalit, Sayma Rahman, Isabelle Magalhaes, et al.. (2017). IL-7δ5 protein is expressed in human tissues and induces expression of the oxidized low density lipoprotein receptor 1 (OLR1) in CD14+ monocytes. International Journal of Infectious Diseases. 59. 29–36. 2 indexed citations

3.

Valentini, Davide, Martin Rao, Lalit Rane, et al.. (2017). Peptide microarray-based characterization of antibody responses to host proteins after bacille Calmette–Guérin vaccination. International Journal of Infectious Diseases. 56. 140–154. 16 indexed citations

4.

Rahman, Sayma, et al.. (2014). Pulmonary tuberculosis patients with a vitamin D deficiency demonstrate low local expression of the antimicrobial peptide LL-37 but enhanced FoxP3+ regulatory T cells and IgG-secreting cells. Clinical Immunology. 156(2). 85–97. 50 indexed citations

5.

Rahman, Sayma, Isabelle Magalhaes, Jubayer Rahman, et al.. (2012). Prime-Boost Vaccination with rBCG/rAd35 Enhances CD8+ Cytolytic T-Cell Responses in Lesions from Mycobacterium Tuberculosis-Infected Primates. Molecular Medicine. 18(4). 647–658. 31 indexed citations

6.

Rahman, Sayma, Berhanu Gudetta, Joshua Fink, et al.. (2009). Compartmentalization of Immune Responses in Human Tuberculosis. American Journal Of Pathology. 174(6). 2211–2224. 88 indexed citations

7.

Persson, Alexander, Robert Blomgran, Sayma Rahman, Limin Zheng, & Olle Stendahl. (2007). Mycobacterium tuberculosis-induced apoptotic neutrophils trigger a pro-inflammatory response in macrophages through release of heat shock protein 72, acting in synergy with the bacteria. Microbes and Infection. 10(3). 233–240. 60 indexed citations

8.

Andersson, Jan, Arina Samarina, Joshua Fink, Sayma Rahman, & Susanna Grundström. (2007). Impaired Expression of Perforin and Granulysin in CD8⁺T Cells at the Site of Infection in Human Chronic Pulmonary Tuberculosis. Infection and Immunity. 75(11). 5210–5222. 85 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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