Rubayat Khan

434 citations
21 papers · 261 · h-index 7

Impact in

Papers in

    • Alzheimer's disease research and treatments 3
    • Biochemical effects in animals 2
    • RNA Interference and Gene Delivery 2

Rubayat Khan

15 papers receiving 256 citations

Peers

Rubayat Khan
Comparison fields: 5 of 74
  • Geriatrics and Gerontology 63
  • Biological Psychiatry 15
  • Physiology 28
  • Neurology 24
  • Aging 5
Replace Saif Nirzhor with:
Saif Nirzhor United States
Bárbara Paranhos Coelho Brazil
Kanmin Mao China
Sokhna M. S. Yakhine-Diop Spain
Guadalupe Martínez-Chacón Spain
Vijay Arruri United States
Ruiyu Han China
Ana García-Aguilar Spain
Miao Yi China
Yongying Hou China
Rubayat Khan relative to Saif Nirzhor United States Saif Nirzhor's profile →
Citations per field
00.5×1.5×
Saif Nirzhor · 1×
Citations per year

Countries citing papers authored by Rubayat Khan

Since Specialization
Citations

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

Fields of papers citing papers by Rubayat Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rubayat Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rubayat Khan Line = papers co-authored together Rubayat Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202182
2 201855
3 201843
4 202124
5 202220
6 201817
7 20189
8 20183
9 20222
10 20251
11 20181
12 20231
13 20141
14 20241
15 20151
16 20260
17 20250
18 20250
19 20250
20 20250

About Rubayat Khan

Rubayat Khan is a scholar working on Physiology, Molecular Biology, Geriatrics and Gerontology, Genetics and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 261 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (4 papers), Alzheimer's disease research and treatments (3 papers), Glioma Diagnosis and Treatment (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers), Biochemical effects in animals (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Geriatrics and Gerontology (63 citations), Biological Psychiatry (15 citations), Physiology (28 citations), Neurology (24 citations) and Aging (5 citations). Rubayat Khan has collaborated with scholars based in United States, Bangladesh and Czechia. Frequent co-authors include Saif Nirzhor, Raushanara Akter, Afrina Afrose, Md. Tanvir Kabir, David Oupický, Raj Kumar, Hang Yu, Ladislav Sivák, David Větvička and Barnaly Rashid. Their work appears in journals such as Biomolecules, Molecular Pharmaceutics, Neuro-Oncology, Pharmaceutical Research and Journal of Controlled Release.

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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