Yatish Lad

1.7k total citations
23 papers, 1.4k citations indexed

About

Yatish Lad is a scholar working on Molecular Biology, Immunology and Allergy and Cell Biology. According to data from OpenAlex, Yatish Lad has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Immunology and Allergy and 6 papers in Cell Biology. Recurrent topics in Yatish Lad's work include Cell Adhesion Molecules Research (8 papers), Virus-based gene therapy research (5 papers) and Cellular Mechanics and Interactions (5 papers). Yatish Lad is often cited by papers focused on Cell Adhesion Molecules Research (8 papers), Virus-based gene therapy research (5 papers) and Cellular Mechanics and Interactions (5 papers). Yatish Lad collaborates with scholars based in United Kingdom, United States and Finland. Yatish Lad's co-authors include David Calderwood, Iain D. Campbell, Jari Ylänne, Pengju Jiang, Massimiliano Baldassarre, Tiila R. Kiema, Christopher Haslett, Brian J. McHugh, Tariq Sethi and Kate L. Wegener and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

Yatish Lad

21 papers receiving 1.3k citations

Peers

Yatish Lad

PHYSI

IMMUN

Eugene Tkachenko United States

Ralph T. Böttcher Germany

Mira Krendel United States

Asier Echarri Spain

Shusaku Kurisu Japan

Begoña García‐Álvarez Spain

David S. Harburger United States

Christopher C. Jensen United States

M.H.E. Driessens Netherlands

Alexandre F. Carisey United States

Eugene Tkachenko United States

Yatish Lad

1.0k ×1.5

983 ×1.5

323 ×0.7

130 ×0.6

PHYSI

117 ×0.8

IMMUN

Citations per year, relative to Yatish Lad Yatish Lad (= 1×) peers Eugene Tkachenko

Countries citing papers authored by Yatish Lad

Since Specialization

Citations

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

Fields of papers citing papers by Yatish Lad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yatish Lad

This figure shows the co-authorship network connecting the top 25 collaborators of Yatish Lad. A scholar is included among the top collaborators of Yatish Lad 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 Yatish Lad. Yatish Lad 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

Guzman, Efrain, Cheen P. Khoo, Deirdre O’Connor, et al.. (2025). Gender difference in pre-clinical liver-directed gene therapy with lentiviral vectors. Experimental Biology and Medicine. 250. 10422–10422.

Barnard, Alun R., Lynsey M. Whilding, Zara Hannoun, et al.. (2025). Efficient in vivo generation of CAR T cells using a retargeted fourth-generation lentiviral vector. Molecular Therapy. 33(10). 4953–4967. 4 indexed citations

Blount, Daniel G., Naeem Khan, Laura Moyce, et al.. (2024). Targeting Tumor Antigen 5T4 Using CAR T Cells for the Treatment of Acute Myeloid Leukemia. Molecular Cancer Therapeutics. 24(1). 93–104. 2 indexed citations

Iqball, Sharifah, Gayathri Devarajan, Cheen P. Khoo, et al.. (2023). Lentiviral delivered aflibercept OXB-203 for treatment of neovascular AMD. Molecular Therapy — Methods & Clinical Development. 30. 350–366. 4 indexed citations

Nimmo, Rachael, et al.. (2022). Sendai F/HN pseudotyped lentiviral vector transduces human ciliated and non-ciliated airway cells using α 2,3 sialylated receptors. Molecular Therapy — Methods & Clinical Development. 26. 239–252. 6 indexed citations

Badin, Romina Aron, Katie Binley, Nadja Van Camp, et al.. (2019). Gene Therapy for Parkinson’s Disease: Preclinical Evaluation of Optimally Configured TH:CH1 Fusion for Maximal Dopamine Synthesis. Molecular Therapy — Methods & Clinical Development. 14. 206–216. 19 indexed citations

Wright, J. Fraser, Catarina R. Vieira, Tapoka T. Mkandawire, et al.. (2017). Enhancing titres of therapeutic viral vectors using the transgene repression in vector production (TRiP) system. Nature Communications. 8(1). 14834–14834. 21 indexed citations

Zallocchi, Marisa, Katie Binley, Yatish Lad, et al.. (2014). EIAV-Based Retinal Gene Therapy in the shaker1 Mouse Model for Usher Syndrome Type 1B: Development of UshStat. PLoS ONE. 9(4). e94272–e94272. 83 indexed citations

Zallocchi, Marisa, Linda Cheung, You‐Wei Peng, et al.. (2012). Results of Safety and Tolerability Studies of UshStat®, an EIAV-based Lentiviral-vector Therapy for USH1B and the Elucidation of Retinal Cell Types Responsible for USH1B Pathology. Investigative Ophthalmology & Visual Science. 53(14). 1892–1892. 1 indexed citations

10.

Zallocchi, Marisa, Yatish Lad, Scott Ellis, et al.. (2011). Subretinal Delivery Of Eiav-based Lentiviral Vectors In The Shaker1 Mouse Model For Usher Syndrometype 1b : Development Of Ushstat®. Investigative Ophthalmology & Visual Science. 52(14). 489–489. 1 indexed citations

11.

Gehler, Scott, Massimiliano Baldassarre, Yatish Lad, et al.. (2009). Filamin A–β1 Integrin Complex Tunes Epithelial Cell Response to Matrix Tension. Molecular Biology of the Cell. 20(14). 3224–3238. 98 indexed citations

12.

McHugh, Brian J., Robert Buttery, Yatish Lad, et al.. (2009). Integrin activation by Fam38A uses a novel mechanism of R-Ras targeting to the endoplasmic reticulum. Journal of Cell Science. 123(1). 51–61. 170 indexed citations

13.

Lad, Yatish, Pengju Jiang, Salla Ruskamo, et al.. (2008). Structural Basis of the Migfilin-Filamin Interaction and Competition with Integrin β Tails. Journal of Biological Chemistry. 283(50). 35154–35163. 92 indexed citations

14.

Heuzé, Mélina L., Isabelle Lamsoul, Massimiliano Baldassarre, et al.. (2008). ASB2 targets filamins A and B to proteasomal degradation. Blood. 112(13). 5130–5140. 73 indexed citations

15.

Lad, Yatish, David S. Harburger, & David Calderwood. (2007). Integrin Cytoskeletal Interactions. Methods in enzymology on CD-ROM/Methods in enzymology. 426. 69–84. 36 indexed citations

16.

Hodkinson, Philip S., Tony Elliott, Yatish Lad, et al.. (2007). Mammalian NOTCH-1 Activates β1 Integrins via the Small GTPase R-Ras. Journal of Biological Chemistry. 282(39). 28991–29001. 73 indexed citations

17.

Bouaouina, Mohamed, Yatish Lad, & David Calderwood. (2007). The N-terminal Domains of Talin Cooperate with the Phosphotyrosine Binding-like Domain to Activate β1 and β3 Integrins. Journal of Biological Chemistry. 283(10). 6118–6125. 112 indexed citations

18.

Lad, Yatish, Tiila R. Kiema, Pengju Jiang, et al.. (2007). Structure of three tandem filamin domains reveals auto-inhibition of ligand binding. The EMBO Journal. 26(17). 3993–4004. 124 indexed citations

19.

Kiema, Tiila R., Yatish Lad, Pengju Jiang, et al.. (2006). The Molecular Basis of Filamin Binding to Integrins and Competition with Talin. Molecular Cell. 21(3). 337–347. 345 indexed citations

20.

Lad, Yatish, Brian J. McHugh, Philip S. Hodkinson, et al.. (2006). Phospholipase Cϵ Suppresses Integrin Activation. Journal of Biological Chemistry. 281(40). 29501–29512. 6 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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