Kowser Hasneen

1.1k total citations · 1 hit paper
16 papers, 860 citations indexed

About

Kowser Hasneen is a scholar working on Molecular Biology, Surgery and Rehabilitation. According to data from OpenAlex, Kowser Hasneen has authored 16 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Rehabilitation. Recurrent topics in Kowser Hasneen's work include Pluripotent Stem Cells Research (4 papers), Wound Healing and Treatments (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Kowser Hasneen is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Wound Healing and Treatments (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Kowser Hasneen collaborates with scholars based in United States, Italy and China. Kowser Hasneen's co-authors include Steven L. Stice, Sujoy K. Dhara, María I. Morasso, Franklin D. West, Stephen R. Brooks, J.R. Dobrinsky, Nolan L. Boyd, Raj R. Rao, Jennifer L. Mumaw and R. Stone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Kowser Hasneen

16 papers receiving 847 citations

Hit Papers

Deregulated immune cell r... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deregulated immune cell recruitment orchestrated by FOXM1 impairs human diabetic wound healing
    2020 251 citations Andrew P. Sawaya, R. Stone et al. Nature Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kowser Hasneen 486 199 168 134 107 16 860
Guillermo C. Rivera-Gonzalez 320 0.7× 284 1.4× 133 0.8× 115 0.9× 39 0.4× 13 946
Erin E Vaughan 407 0.8× 107 0.5× 40 0.2× 98 0.7× 53 0.5× 18 731
Iraj Laffafian 223 0.5× 120 0.6× 189 1.1× 27 0.2× 30 0.3× 26 610
Quentin Low 173 0.4× 279 1.4× 180 1.1× 75 0.6× 68 0.6× 11 686
Shu Uin Gan 395 0.8× 92 0.5× 182 1.1× 306 2.3× 106 1.0× 44 980
Barbara Munz 562 1.2× 172 0.9× 92 0.5× 70 0.5× 25 0.2× 13 946
Jo Ann Dumin 231 0.5× 223 1.1× 44 0.3× 37 0.3× 32 0.3× 12 847
Chieko Hayashi 218 0.4× 73 0.4× 519 3.1× 60 0.4× 31 0.3× 21 721
Vivian Lei 145 0.3× 188 0.9× 90 0.5× 71 0.5× 29 0.3× 6 533

Countries citing papers authored by Kowser Hasneen

Since Specialization
Citations

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

Fields of papers citing papers by Kowser Hasneen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kowser Hasneen

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

All Works

16 of 16 papers shown
1.
Overmiller, Andrew M., Akihiko Uchiyama, Subhashree Nayak, et al.. (2024). Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing. JCI Insight. 9(24). 5 indexed citations
2.
Nayak, Subhashree, Kan Jiang, Andrew M. Overmiller, et al.. (2023). Chromatin Landscape Governing Murine Epidermal Differentiation. Journal of Investigative Dermatology. 143(7). 1220–1232.e9. 7 indexed citations
3.
Uchiyama, Akihiko, Yuta Inoue, Andrew P. Sawaya, et al.. (2021). Loss of DLX3 tumor suppressive function promotes progression of SCC through EGFR–ERBB2 pathway. Oncogene. 40(21). 3680–3694. 6 indexed citations
4.
Sawaya, Andrew P., R. Stone, Stephen R. Brooks, et al.. (2020). Deregulated immune cell recruitment orchestrated by FOXM1 impairs human diabetic wound healing. Nature Communications. 11(1). 4678–4678. 251 indexed citations breakdown →
5.
Wang, Xinghao, Rishi R. Goel, Liam J. O’Neil, et al.. (2020). Interferon lambda promotes immune dysregulation and tissue inflammation in TLR7-induced lupus. The Journal of Immunology. 204(1_Supplement). 219.13–219.13. 1 indexed citations
6.
Goel, Rishi R., Xinghao Wang, Liam J. O’Neil, et al.. (2020). Interferon lambda promotes immune dysregulation and tissue inflammation in TLR7-induced lupus. Proceedings of the National Academy of Sciences. 117(10). 5409–5419. 93 indexed citations
7.
Uchiyama, Akihiko, Subhashree Nayak, Kowser Hasneen, et al.. (2019). SOX2 Epidermal Overexpression Promotes Cutaneous Wound Healing via Activation of EGFR/MEK/ERK Signaling Mediated by EGFR Ligands. Journal of Investigative Dermatology. 139(8). 1809–1820.e8. 40 indexed citations
8.
Gerwe, Brian A., Peggi M. Angel, Franklin D. West, et al.. (2011). Membrane proteomic signatures of karyotypically normal and abnormal human embryonic stem cell lines and derivatives. PROTEOMICS. 11(12). 2515–2527. 16 indexed citations
9.
Dodla, Mahesh C., Amber Young, Alison Venable, et al.. (2011). Differing Lectin Binding Profiles among Human Embryonic Stem Cells and Derivatives Aid in the Isolation of Neural Progenitor Cells. PLoS ONE. 6(8). e23266–e23266. 26 indexed citations
10.
West, Franklin D., Jennifer L. Mumaw, Sujoy K. Dhara, et al.. (2010). Porcine Induced Pluripotent Stem Cells Produce Chimeric Offspring. Stem Cells and Development. 19(8). 1211–1220. 178 indexed citations
11.
Wu, Zezhi, William S. Kisaalita, Lina Wang, et al.. (2010). Effects of topography on the functional development of human neural progenitor cells. Biotechnology and Bioengineering. 106(4). 649–659. 14 indexed citations
12.
Reiss, Allison B., Kamran Anwar, Joan T. Merrill, et al.. (2009). Plasma from systemic lupus patients compromises cholesterol homeostasis: a potential mechanism linking autoimmunity to atherosclerotic cardiovascular disease. Rheumatology International. 30(5). 591–598. 23 indexed citations
13.
Dhara, Sujoy K., Brian A. Gerwe, Anirban Majumder, et al.. (2009). Genetic Manipulation of Neural Progenitors Derived from Human Embryonic Stem Cells. Tissue Engineering Part A. 15(11). 3621–3634. 22 indexed citations
14.
Dhara, Sujoy K., Kowser Hasneen, David W. Machacek, et al.. (2008). Human neural progenitor cells derived from embryonic stem cells in feeder-free cultures. Differentiation. 76(5). 454–464. 72 indexed citations
15.
Boyd, Nolan L., Romdhane Rekaya, Kowser Hasneen, et al.. (2007). BMP4 promotes formation of primitive vascular networks in human embryonic stem cell-derived embryoid bodies.. PubMed. 232(6). 833–43. 61 indexed citations
16.
Reiss, Allison B., Chirag Patel, Mohammad Mizanur Rahman, et al.. (2004). Interferon-gamma impedes reverse cholesterol transport and promotes foam cell transformation in THP-1 human monocytes/macrophages.. PubMed. 10(11). BR420–5. 45 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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