Nayanendu Saha

1.6k total citations
24 papers, 1.2k citations indexed

About

Nayanendu Saha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Nayanendu Saha has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Oncology. Recurrent topics in Nayanendu Saha's work include Axon Guidance and Neuronal Signaling (8 papers), HER2/EGFR in Cancer Research (7 papers) and Signaling Pathways in Disease (5 papers). Nayanendu Saha is often cited by papers focused on Axon Guidance and Neuronal Signaling (8 papers), HER2/EGFR in Cancer Research (7 papers) and Signaling Pathways in Disease (5 papers). Nayanendu Saha collaborates with scholars based in United States, Australia and Italy. Nayanendu Saha's co-authors include Dimitar B. Nikolov, Juha‐Pekka Himanen, Stewart Shuman, Beate Schwer, Peter W. Janes, Momchil V. Kolev, Martin Lackmann, Sabine Wimmer-Kleikamp, William A. Barton and Eva Nievergall and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Nayanendu Saha

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nayanendu Saha United States 15 762 391 219 186 155 24 1.2k
John C. Zwaagstra Canada 15 703 0.9× 210 0.5× 170 0.8× 98 0.5× 105 0.7× 28 1.3k
Juha P. Himanen United States 20 789 1.0× 799 2.0× 203 0.9× 378 2.0× 88 0.6× 39 1.6k
May M. Paing United States 15 858 1.1× 281 0.7× 94 0.4× 401 2.2× 50 0.3× 18 1.4k
J. Román Cabrero Spain 14 921 1.2× 117 0.3× 310 1.4× 304 1.6× 178 1.1× 14 1.5k
Heimo Riedel United States 22 1.2k 1.6× 121 0.3× 390 1.8× 182 1.0× 56 0.4× 55 1.8k
Ferran Valderrama United Kingdom 15 768 1.0× 97 0.2× 166 0.8× 667 3.6× 158 1.0× 18 1.3k
Vann P. Parker United States 17 1.0k 1.4× 225 0.6× 191 0.9× 139 0.7× 45 0.3× 18 1.4k
Masami Nagahama Japan 17 980 1.3× 170 0.4× 155 0.7× 784 4.2× 43 0.3× 26 1.6k
Jennifer M. Kavran United States 17 1.7k 2.2× 125 0.3× 141 0.6× 698 3.8× 64 0.4× 29 2.1k
Benoit Poulin United Kingdom 17 581 0.8× 130 0.3× 72 0.3× 133 0.7× 53 0.3× 26 1.1k

Countries citing papers authored by Nayanendu Saha

Since Specialization
Citations

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

Fields of papers citing papers by Nayanendu Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayanendu Saha

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

All Works

20 of 20 papers shown
1.
Saha, Nayanendu, et al.. (2025). Antibodies targeting ADAM17 reverse neurite outgrowth inhibition by myelin-associated inhibitors. Life Science Alliance. 8(6). e202403126–e202403126.
2.
Saha, Nayanendu, Sang Gyu Lee, M. Jason de la Cruz, et al.. (2024). Fully human monoclonal antibody targeting the cysteine-rich substrate-interacting region of ADAM17 on cancer cells. Biomedicine & Pharmacotherapy. 180. 117605–117605. 2 indexed citations
3.
Saha, Nayanendu, Yan Xu, Yehuda Goldgur, et al.. (2023). Fully human monoclonal antibody targeting activated ADAM10 on colorectal cancer cells. Biomedicine & Pharmacotherapy. 161. 114494–114494. 14 indexed citations
4.
Vail, Mary E., Linda Hii, Paul J. McMurrick, et al.. (2022). Preferential Antibody and Drug Conjugate Targeting of the ADAM10 Metalloprotease in Tumours. Cancers. 14(13). 3171–3171. 7 indexed citations
5.
Saha, Nayanendu, Bo Lin, Donghai Wang, et al.. (2021). Ephrin-A1 and the sheddase ADAM12 are upregulated in COVID-19. Heliyon. 7(6). e07200–e07200. 10 indexed citations
6.
Saha, Nayanendu, Kai Xu, Zhongyu Zhu, et al.. (2021). Inhibitory monoclonal antibody targeting ADAM17 expressed on cancer cells. Translational Oncology. 15(1). 101265–101265. 12 indexed citations
7.
Saha, Nayanendu, et al.. (2019). ADAM proteases: Emerging role and targeting of the non-catalytic domains. Cancer Letters. 467. 50–57. 57 indexed citations
8.
Saha, Nayanendu, et al.. (2018). Therapeutic potential of targeting the Eph/ephrin signaling complex. The International Journal of Biochemistry & Cell Biology. 105. 123–133. 31 indexed citations
9.
Seegar, T.C.M., Nayanendu Saha, Peter Meyer, et al.. (2017). Structural Basis for Regulated Proteolysis by the α-Secretase ADAM10. Cell. 171(7). 1638–1648.e7. 123 indexed citations
10.
Saha, Nayanendu, Momchil V. Kolev, & Dimitar B. Nikolov. (2014). Structural features of the Nogo receptor signaling complexes at the neuron/myelin interface. Neuroscience Research. 87. 1–7. 20 indexed citations
11.
Varricchio, Lilian, Valentina Tirelli, Elena Masselli, et al.. (2012). The Expression of the Glucocorticoid Receptor in Human Erythroblasts is Uniquely Regulated by KIT Ligand: Implications for Stress Erythropoiesis. Stem Cells and Development. 21(15). 2852–2865. 23 indexed citations
12.
Saha, Nayanendu, Momchil V. Kolev, Yehuda Goldgur, et al.. (2011). Crystal structure of the Nogo‐receptor‐2. Protein Science. 20(4). 684–689. 6 indexed citations
13.
Saha, Nayanendu, et al.. (2011). Ganglioside mediate the interaction between Nogo receptor 1 and LINGO-1. Biochemical and Biophysical Research Communications. 413(1). 92–97. 13 indexed citations
14.
Himanen, Juha‐Pekka, Nayanendu Saha, & Dimitar B. Nikolov. (2007). Cell–cell signaling via Eph receptors and ephrins. Current Opinion in Cell Biology. 19(5). 534–542. 203 indexed citations
15.
Janes, Peter W., Nayanendu Saha, William A. Barton, et al.. (2005). Adam Meets Eph: An ADAM Substrate Recognition Module Acts as a Molecular Switch for Ephrin Cleavage In trans. Cell. 123(2). 291–304. 351 indexed citations
16.
Chiu, Ya‐Lin, C. Kiong Ho, Nayanendu Saha, et al.. (2002). Tat Stimulates Cotranscriptional Capping of HIV mRNA. Molecular Cell. 10(3). 585–597. 114 indexed citations
17.
Schwer, Beate, et al.. (2001). Characterization of the mRNA Capping Apparatus of Candida albicans. Journal of Biological Chemistry. 276(3). 1857–1864. 30 indexed citations
18.
Saha, Nayanendu & Stewart Shuman. (2001). Effects of Alanine Cluster Mutations in the D12 Subunit of Vaccinia Virus mRNA (Guanine-N7) Methyltransferase. Virology. 287(1). 40–48. 7 indexed citations
19.
Saha, Nayanendu, Beate Schwer, & Stewart Shuman. (1999). Characterization of Human, Schizosaccharomyces pombe, and Candida albicans mRNA Cap Methyltransferases and Complete Replacement of the Yeast Capping Apparatus by Mammalian Enzymes. Journal of Biological Chemistry. 274(23). 16553–16562. 72 indexed citations
20.
Saha, Nayanendu & Kalyan K. Banerjee. (1997). Carbohydrate-mediated Regulation of Interaction of Vibrio cholerae Hemolysin with Erythrocyte and Phospholipid Vesicle. Journal of Biological Chemistry. 272(1). 162–167. 46 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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