Sikander Hayat

5.3k total citations · 1 hit paper
41 papers, 926 citations indexed

About

Sikander Hayat is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Sikander Hayat has authored 41 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Immunology. Recurrent topics in Sikander Hayat's work include Single-cell and spatial transcriptomics (10 papers), Protein Structure and Dynamics (9 papers) and RNA and protein synthesis mechanisms (9 papers). Sikander Hayat is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Protein Structure and Dynamics (9 papers) and RNA and protein synthesis mechanisms (9 papers). Sikander Hayat collaborates with scholars based in Germany, United States and Sweden. Sikander Hayat's co-authors include Arne Elofsson, Debora S. Marks, Chris Sander, Altuna Akalin, Jonathan Ronen, Volkhard Helms, Marcin J. Skwark, Mirco Michel, Yungki Park and Patrick T. Ellinor and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sikander Hayat

37 papers receiving 921 citations

Hit Papers

align trajectories

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.

Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy

2022 180 citations Mark Chaffin, Irinna Papangeli et al. Nature profile →

Peers

Sikander Hayat

CCM

GENET

IMMUN

ONCOL

Xingjuan Shi China

Kay O. Broschat United States

Caitlin Hall United Kingdom

Andrej Savol United States

Peter Clark United States

Tod M. Klingler United States

Divya Sharma India

Rita Casadonte Germany

Adel Tarcsafalvi United States

Beata Burzyńska Poland

Xingjuan Shi China

Sikander Hayat

686 ×1.0

116 ×0.9

CCM

103 ×1.4

GENET

51 ×0.7

IMMUN

155 ×2.5

ONCOL

Citations per year, relative to Sikander Hayat Sikander Hayat (= 1×) peers Xingjuan Shi

Countries citing papers authored by Sikander Hayat

Since Specialization

Citations

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

Fields of papers citing papers by Sikander Hayat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sikander Hayat

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

All Works

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20 of 20 papers shown

Kabgani, Nazanin, Hyojin Kim, Susanne Ziegler, et al.. (2024). A bioprinted and scalable model of human tubulo-interstitial kidney fibrosis. Biomaterials. 316. 123009–123009. 5 indexed citations

Klinkhammer, Barbara M., Sebastian Kant, Claudia A. Krusche, et al.. (2024). The role of desmoglein-2 in kidney disease. Kidney International. 105(5). 1035–1048. 1 indexed citations

Hoeft, Konrad, Tore Bleckwehl, David Schumacher, et al.. (2024). Label-free single-cell RNA multiplexing leveraging genetic variability. Nature Communications. 15(1). 10612–10612. 2 indexed citations

Vitali, Cecilia, Kate Townsend Creasy, David Zhang, et al.. (2024). The common p.Ile291Val variant of ERLIN1 enhances TM6SF2 function and is associated with protection against MASLD. Med. 5(8). 963–980.e5. 3 indexed citations

Khaliq, Ateeq, Chi Zhang, Anita Turk, et al.. (2024). Spatial transcriptomic analysis of primary and metastatic pancreatic cancers highlights tumor microenvironmental heterogeneity. Nature Genetics. 56(11). 2455–2465. 30 indexed citations

Xu, Huaming, Hyojin Kim, Fabian Beier, et al.. (2024). Generation of a conditional cellular senescence model using proximal tubule cells and fibroblasts from human kidneys. Cell Death Discovery. 10(1). 364–364. 2 indexed citations

Simonson, Bridget, Mark Chaffin, Matthew C. Hill, et al.. (2023). Single-nucleus RNA sequencing in ischemic cardiomyopathy reveals common transcriptional profile underlying end-stage heart failure. Cell Reports. 42(2). 112086–112086. 38 indexed citations

Alter, Christina, Julia Hesse, Zhaoping Ding, et al.. (2023). IL-6 in the infarcted heart is preferentially formed by fibroblasts and modulated by purinergic signaling. Journal of Clinical Investigation. 133(11). 34 indexed citations

Blijdorp, Charles J., Sita Arjune, Hester van Willigenburg, et al.. (2023). Matrix Metalloproteinase-7 in Urinary Extracellular Vesicles Identifies Rapid Disease Progression in Autosomal Dominant Polycystic Kidney Disease. Journal of the American Society of Nephrology. 35(3). 321–334. 11 indexed citations

10.

Kranz, Jennifer, et al.. (2023). Künstliche Intelligenz in der Urologie – Chancen und Möglichkeiten. PubMed. 62(4). 383–388.

11.

Xu, Yang, Rafael Kramann, Rachel Patton McCord, & Sikander Hayat. (2023). MASI enables fast model-free standardization and integration of single-cell transcriptomics data. Communications Biology. 6(1). 465–465.

12.

Hayat, Sikander & Rafael Kramann. (2022). Mapping the border zone in myocardial infarction. Nature Cardiovascular Research. 1(11). 978–979. 4 indexed citations

13.

Chaffin, Mark, Irinna Papangeli, Bridget Simonson, et al.. (2022). Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy. Nature. 608(7921). 174–180. 180 indexed citations breakdown →

14.

Xu, Yang, Simon J. Baumgart, Christian M. Stegmann, & Sikander Hayat. (2021). MACA: marker-based automatic cell-type annotation for single-cell expression data. Bioinformatics. 38(6). 1756–1760. 11 indexed citations

15.

Imran, Muhammad, et al.. (2020). On topological properties of boron and boron‐ α nanotubes. Mathematical Methods in the Applied Sciences. 49(6). 5490–5504. 2 indexed citations

16.

Wu, Xiaoyun, Gavin R. Schnitzler, Galen F. Gao, et al.. (2020). Mechanistic insights into cancer cell killing through interaction of phosphodiesterase 3A and schlafen family member 12. Journal of Biological Chemistry. 295(11). 3431–3446. 18 indexed citations

17.

Hayat, Sikander, Chris Sander, Debora S. Marks, & Arne Elofsson. (2015). All-atom 3D structure prediction of transmembrane β-barrel proteins from sequences. Proceedings of the National Academy of Sciences. 112(17). 5413–5418. 42 indexed citations

18.

Hayat, Sikander & Arne Elofsson. (2012). Ranking models of transmembrane β-barrel proteins using Z-coordinate predictions. Bioinformatics. 28(12). i90–i96. 9 indexed citations

19.

Singh, Nitesh Kumar, et al.. (2011). TMBHMM: A frequency profile based HMM for predicting the topology of transmembrane beta barrel proteins and the exposure status of transmembrane residues. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1814(5). 664–670. 21 indexed citations

20.

Hayat, Sikander, Yungki Park, & Volkhard Helms. (2011). Statistical analysis and exposure status classification of transmembrane beta barrel residues. Computational Biology and Chemistry. 35(2). 96–107. 5 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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