Sarfaraz Lalani

1.4k total citations · 1 hit paper
9 papers, 659 citations indexed

About

Sarfaraz Lalani is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sarfaraz Lalani has authored 9 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sarfaraz Lalani's work include Mesenchymal stem cell research (2 papers), Computational Drug Discovery Methods (2 papers) and Neonatal Respiratory Health Research (2 papers). Sarfaraz Lalani is often cited by papers focused on Mesenchymal stem cell research (2 papers), Computational Drug Discovery Methods (2 papers) and Neonatal Respiratory Health Research (2 papers). Sarfaraz Lalani collaborates with scholars based in United States and China. Sarfaraz Lalani's co-authors include Matthew B. Greenblatt, Shawon Debnath, Ren Xu, Jae‐Hyuck Shim, Yifang Liu, Alisha R. Yallowitz, Na Li, Mathias P. Bostrom, Jason McCormick and John H. Healey and has published in prestigious journals such as Nature, Nature Communications and Journal of Bone and Mineral Research.

In The Last Decade

Sarfaraz Lalani

9 papers receiving 651 citations

Hit Papers

Discovery of a periosteal stem cell mediating intramembra... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarfaraz Lalani United States 8 360 172 105 92 87 9 659
Arantza Infante Spain 13 445 1.2× 189 1.1× 117 1.1× 61 0.7× 71 0.8× 24 809
Hyoju Yi South Korea 14 313 0.9× 82 0.5× 159 1.5× 61 0.7× 122 1.4× 19 641
Zhuoran Zhao United States 8 348 1.0× 136 0.8× 95 0.9× 93 1.0× 76 0.9× 9 616
Zhijia Tan China 11 659 1.8× 74 0.4× 90 0.9× 105 1.1× 94 1.1× 26 884
Bo Yan China 14 401 1.1× 63 0.4× 139 1.3× 63 0.7× 215 2.5× 20 831
Agadha Wickremesekera New Zealand 16 329 0.9× 139 0.8× 189 1.8× 48 0.5× 45 0.5× 42 795
Fumitaka Ichida Japan 6 585 1.6× 109 0.6× 175 1.7× 101 1.1× 173 2.0× 7 839
Vincent Kuek Australia 18 485 1.3× 80 0.5× 198 1.9× 46 0.5× 127 1.5× 23 879
Sylwia Bobis‐Wozowicz Poland 14 419 1.2× 312 1.8× 68 0.6× 57 0.6× 38 0.4× 28 763
Min Hu China 13 320 0.9× 106 0.6× 147 1.4× 35 0.4× 90 1.0× 46 751

Countries citing papers authored by Sarfaraz Lalani

Since Specialization
Citations

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

Fields of papers citing papers by Sarfaraz Lalani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarfaraz Lalani

This figure shows the co-authorship network connecting the top 25 collaborators of Sarfaraz Lalani. A scholar is included among the top collaborators of Sarfaraz Lalani 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 Sarfaraz Lalani. Sarfaraz Lalani 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.
Montano, Erica N., Moumita Bose, Lihong Huo, et al.. (2023). α‐Ketoglutarate–Dependent KDM6 Histone Demethylases and Interferon‐Stimulated Gene Expression in Lupus. Arthritis & Rheumatology. 76(3). 396–410. 18 indexed citations
2.
Sun, Jun, Dong Yeon Shin, Alisha R. Yallowitz, et al.. (2021). SLITRK5 is a negative regulator of hedgehog signaling in osteoblasts. Nature Communications. 12(1). 4611–4611. 23 indexed citations
3.
Li, Na, Kazuki Inoue, Jun Sun, et al.. (2020). Osteoclasts are not a source of SLIT3. Bone Research. 8(1). 11–11. 28 indexed citations
4.
Debnath, Shawon, Jennifer B. McCormick, Sarfaraz Lalani, et al.. (2019). Discovery of a periosteal stem cell mediating intramembranous bone formation. Yearbook of pediatric endocrinology. 7 indexed citations
5.
Greenblatt, Matthew B., Noriaki Ono, Ugur M. Ayturk, Shawon Debnath, & Sarfaraz Lalani. (2019). The Unmixing Problem: A Guide to Applying Single-Cell RNA Sequencing to Bone. Journal of Bone and Mineral Research. 34(7). 1207–1219. 37 indexed citations
6.
Debnath, Shawon, Alisha R. Yallowitz, Jason McCormick, et al.. (2018). Discovery of a periosteal stem cell mediating intramembranous bone formation. Nature. 562(7725). 133–139. 456 indexed citations breakdown →
7.
Xu, Ren, Chao Zhang, Dong Yeon Shin, et al.. (2017). c-Jun N-Terminal Kinases (JNKs) Are Critical Mediators of Osteoblast Activity In Vivo. Journal of Bone and Mineral Research. 32(9). 1811–1815. 42 indexed citations
8.
Lalani, Sarfaraz, et al.. (2012). Molecular docking studies of banana flower flavonoids as insulin receptor tyrosine kinase activators as a cure for diabetes mellitus. Bioinformation. 8(5). 216–220. 43 indexed citations
9.
Lalani, Sarfaraz, et al.. (2012). Docking Studies of Rauwolfia Serpentina Alkaloids as Insulin Receptor Activators. International Journal of Computer Applications. 43(14). 32–37. 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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