Farzana Bhuyan

596 total citations
9 papers, 198 citations indexed

About

Farzana Bhuyan is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Farzana Bhuyan has authored 9 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Virology. Recurrent topics in Farzana Bhuyan's work include HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers) and Cytomegalovirus and herpesvirus research (2 papers). Farzana Bhuyan is often cited by papers focused on HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers) and Cytomegalovirus and herpesvirus research (2 papers). Farzana Bhuyan collaborates with scholars based in Japan, United States and France. Farzana Bhuyan's co-authors include Shinya Suzu, Michihiro Hashimoto, Hesham Nasser, Masateru Hiyoshi, Osamu Noyori, Shunsuke Kimura, Hiroyuki Osada, Tamio Saito, Yasumitsu Kondoh and Hiroshi Ohno and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Scientific Reports.

In The Last Decade

Farzana Bhuyan

8 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farzana Bhuyan Japan 7 102 77 41 23 22 9 198
Katrien Pletinckx Germany 8 169 1.7× 73 0.9× 15 0.4× 18 0.8× 34 1.5× 12 339
Tereance A. Myers United States 8 63 0.6× 106 1.4× 45 1.1× 27 1.2× 74 3.4× 10 283
Lev Stimmer France 8 60 0.6× 46 0.6× 15 0.4× 29 1.3× 35 1.6× 17 189
Jenna M. Antonucci United States 7 119 1.2× 113 1.5× 81 2.0× 50 2.2× 44 2.0× 8 258
Heather Branscome United States 13 78 0.8× 241 3.1× 30 0.7× 48 2.1× 63 2.9× 19 384
Ulrich D. Kadolsky United Kingdom 7 212 2.1× 82 1.1× 31 0.8× 37 1.6× 17 0.8× 11 338
Mary Lor Australia 10 158 1.5× 83 1.1× 42 1.0× 45 2.0× 55 2.5× 23 319
Ryan Steel United States 14 98 1.0× 98 1.3× 14 0.3× 35 1.5× 21 1.0× 23 416
Sreelakshmi K. Sreenivasamurthy India 10 40 0.4× 115 1.5× 17 0.4× 46 2.0× 45 2.0× 20 262
Shanti Souriant France 5 127 1.2× 134 1.7× 67 1.6× 64 2.8× 95 4.3× 7 327

Countries citing papers authored by Farzana Bhuyan

Since Specialization
Citations

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

Fields of papers citing papers by Farzana Bhuyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzana Bhuyan

This figure shows the co-authorship network connecting the top 25 collaborators of Farzana Bhuyan. A scholar is included among the top collaborators of Farzana Bhuyan 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 Farzana Bhuyan. Farzana Bhuyan 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.
Rahman, Jubayer, Jack Bibby, Parul Singh, et al.. (2025). A CD4+ T cell-intrinsic complement C5aR2-prostacyclin-IL-1R2 axis orchestrates Th1 contraction and is perturbed in Th1-driven disease states. Immunobiology. 230(4). 152979–152979.
2.
Delafontaine, Selket, Rachida Tacine, Giusi Prencipe, et al.. (2024). Autoinflammatory patients with Golgi-trapped CDC42 exhibit intracellular trafficking defects leading to STING hyperactivation and ER stress. Nature Communications. 15(1). 9940–9940. 4 indexed citations
3.
Bhuyan, Farzana, Adriana A. de Jesus, Jacob T. Mitchell, et al.. (2020). Novel Majeed Syndrome–Causing LPIN2 Mutations Link Bone Inflammation to Inflammatory M2 Macrophages and Accelerated Osteoclastogenesis. Arthritis & Rheumatology. 73(6). 1021–1032. 15 indexed citations
4.
Rahman, Mohammad Arif, Eun‐Ju Ko, Farzana Bhuyan, et al.. (2020). Mucosal-associated invariant T (MAIT) cells provide B-cell help in vaccinated and subsequently SIV-infected Rhesus Macaques. Scientific Reports. 10(1). 10060–10060. 24 indexed citations
5.
Suzu, Shinya, M. Ueno, Hesham Nasser, et al.. (2018). Apolipoprotein E is an HIV-1-inducible inhibitor of viral production and infectivity in macrophages. PLoS Pathogens. 14(11). e1007372–e1007372. 22 indexed citations
6.
Hashimoto, Michihiro, Farzana Bhuyan, Masateru Hiyoshi, et al.. (2016). Potential Role of the Formation of Tunneling Nanotubes in HIV-1 Spread in Macrophages. The Journal of Immunology. 196(4). 1832–1841. 88 indexed citations
7.
Hashimoto, Michihiro, Hesham Nasser, Farzana Bhuyan, et al.. (2015). Fibrocytes Differ from Macrophages but Can Be Infected with HIV-1. The Journal of Immunology. 195(9). 4341–4350. 11 indexed citations
8.
Bhuyan, Farzana, et al.. (2014). M-CSF Inhibits Anti–HIV-1 Activity of IL-32, but They Enhance M2-like Phenotypes of Macrophages. The Journal of Immunology. 192(11). 5083–5089. 24 indexed citations
9.
Hiyoshi, Masateru, et al.. (2013). M-CSF receptor mutations in hereditary diffuse leukoencephalopathy with spheroids impair not only kinase activity but also surface expression. Biochemical and Biophysical Research Communications. 440(4). 589–593. 10 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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