Tapan K. Khan

540 total citations
12 papers, 429 citations indexed

About

Tapan K. Khan is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Tapan K. Khan has authored 12 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Psychiatry and Mental health. Recurrent topics in Tapan K. Khan's work include Alzheimer's disease research and treatments (11 papers), Dementia and Cognitive Impairment Research (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Tapan K. Khan is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Dementia and Cognitive Impairment Research (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Tapan K. Khan collaborates with scholars based in United States and Japan. Tapan K. Khan's co-authors include Daniel L. Alkon, Thomas J. Nelson, Chol Seung Lim, Abhik Sen, Florin V. Chirila, Paul A. Wender, Miao‐Kun Sun, Vishal Verma, Jarin Hongpaisan and Dan Fontaine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Cellular Physiology.

In The Last Decade

Tapan K. Khan

12 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tapan K. Khan United States	9	201	156	98	80	66	12	429
Sue Griffin United States	9	237 1.2×	216 1.4×	61 0.6×	99 1.2×	52 0.8×	14	522
Malin Johannesson Sweden	11	350 1.7×	165 1.1×	135 1.4×	50 0.6×	96 1.5×	16	595
Christina Unger Lithner Sweden	16	259 1.3×	266 1.7×	151 1.5×	28 0.3×	70 1.1×	26	537
Julie Paquette Canada	8	358 1.8×	148 0.9×	164 1.7×	30 0.4×	88 1.3×	10	541
Sharie J. Haugabook United States	9	250 1.2×	125 0.8×	108 1.1×	37 0.5×	46 0.7×	13	359
Morgan Robinson Canada	7	184 0.9×	156 1.0×	53 0.5×	40 0.5×	48 0.7×	14	377
Wan Chi Lau United States	4	255 1.3×	56 0.4×	150 1.5×	69 0.9×	78 1.2×	6	452
Yuxing Xia United States	14	324 1.6×	210 1.3×	66 0.7×	48 0.6×	119 1.8×	21	621
Jesus Campagna United States	11	146 0.7×	185 1.2×	66 0.7×	19 0.2×	60 0.9×	26	364
Mitsuyasu Kanai Japan	12	423 2.1×	267 1.7×	109 1.1×	221 2.8×	93 1.4×	28	658

Countries citing papers authored by Tapan K. Khan

Since Specialization

Citations

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

Fields of papers citing papers by Tapan K. Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapan K. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Tapan K. Khan. A scholar is included among the top collaborators of Tapan K. 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 Tapan K. Khan. Tapan K. 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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12 of 12 papers shown

Chirila, Florin V., Dan Fontaine, Tapan K. Khan, et al.. (2022). Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients. Scientific Reports. 12(1). 17675–17675. 5 indexed citations

Khan, Tapan K.. (2018). An Algorithm for Preclinical Diagnosis of Alzheimer's Disease. Frontiers in Neuroscience. 12. 275–275. 35 indexed citations

Nelson, Thomas J., Miao‐Kun Sun, Chol Seung Lim, et al.. (2017). Bryostatin Effects on Cognitive Function and PKCɛ in Alzheimer’s Disease Phase IIa and Expanded Access Trials. Journal of Alzheimer s Disease. 58(2). 521–535. 89 indexed citations

Khan, Tapan K., Paul A. Wender, & Daniel L. Alkon. (2017). Bryostatin and its synthetic analog, picolog rescue dermal fibroblasts from prolonged stress and contribute to survival and rejuvenation of human skin equivalents. Journal of Cellular Physiology. 233(2). 1523–1534. 6 indexed citations

Khan, Tapan K. & Daniel L. Alkon. (2015). Alzheimer’s Disease Cerebrospinal Fluid and Neuroimaging Biomarkers: Diagnostic Accuracy and Relationship to Drug Efficacy. Journal of Alzheimer s Disease. 46(4). 817–836. 44 indexed citations

Khan, Tapan K. & Daniel L. Alkon. (2015). Peripheral Biomarkers of Alzheimer's Disease. Journal of Alzheimer s Disease. 44(3). 729–744. 60 indexed citations

Khan, Tapan K., Abhik Sen, Jarin Hongpaisan, et al.. (2014). PKCε Deficits in Alzheimer's Disease Brains and Skin Fibroblasts. Journal of Alzheimer s Disease. 43(2). 491–509. 29 indexed citations

Chirila, Florin V., Tapan K. Khan, & Daniel L. Alkon. (2014). Fibroblast Aggregation Rate Converges with Validated Peripheral Biomarkers for Alzheimer's Disease. Journal of Alzheimer s Disease. 42(4). 1279–1294. 8 indexed citations

Chirila, Florin V., Tapan K. Khan, & Daniel L. Alkon. (2012). Spatiotemporal Complexity of Fibroblast Networks Screens for Alzheimer's Disease. Journal of Alzheimer s Disease. 33(1). 165–176. 6 indexed citations

10.

Khan, Tapan K., Thomas J. Nelson, Vishal Verma, Paul A. Wender, & Daniel L. Alkon. (2009). A cellular model of Alzheimer's disease therapeutic efficacy: PKC activation reverses Aβ-induced biomarker abnormality on cultured fibroblasts. Neurobiology of Disease. 34(2). 332–339. 56 indexed citations

11.

Khan, Tapan K. & Daniel L. Alkon. (2008). Early diagnostic accuracy and pathophysiologic relevance of an autopsy-confirmed Alzheimer's disease peripheral biomarker. Neurobiology of Aging. 31(6). 889–900. 33 indexed citations

12.

Khan, Tapan K. & Daniel L. Alkon. (2006). An internally controlled peripheral biomarker for Alzheimer’s disease: Erk1 and Erk2 responses to the inflammatory signal bradykinin. Proceedings of the National Academy of Sciences. 103(35). 13203–13207. 58 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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