Sharan Janjuha

1.3k total citations · 1 hit paper
14 papers, 832 citations indexed

About

Sharan Janjuha is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Sharan Janjuha has authored 14 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Genetics. Recurrent topics in Sharan Janjuha's work include CRISPR and Genetic Engineering (6 papers), Pancreatic function and diabetes (6 papers) and Zebrafish Biomedical Research Applications (4 papers). Sharan Janjuha is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Pancreatic function and diabetes (6 papers) and Zebrafish Biomedical Research Applications (4 papers). Sharan Janjuha collaborates with scholars based in Switzerland, Germany and United Kingdom. Sharan Janjuha's co-authors include Nikolay Ninov, Bastiaan Spanjaard, Pedro Olivares‐Chauvet, Jan Philipp Junker, Bo Hu, Gerald Schwank, Nina Frey, Lukas Villiger, Femke Ringnalda and Sumeet Pal Singh and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Biotechnology.

In The Last Decade

Sharan Janjuha

13 papers receiving 825 citations

Hit Papers

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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.

Simultaneous lineage tracing and cell-type identification using CRISPR–Cas9-induced genetic scars

2018 350 citations Bastiaan Spanjaard, Bo Hu et al. Nature Biotechnology profile →

Author Peers

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

Author						Papers	Cites
Sharan Janjuha	627	170	132	130	113	14	832
Yelena Dayn	647 1.0×	288 1.7×	87 0.7×	72 0.6×	76 0.7×	6	808
Annaïck Carles	887 1.4×	94 0.6×	241 1.8×	256 2.0×	46 0.4×	31	1.2k
Javad Nadaf	419 0.7×	293 1.7×	174 1.3×	104 0.8×	37 0.3×	31	859
Sopheak Sim	1.1k 1.8×	135 0.8×	236 1.8×	224 1.7×	75 0.7×	10	1.4k
Sunil K. Mallanna	787 1.3×	81 0.5×	153 1.2×	112 0.9×	158 1.4×	23	970
Yun Yan	874 1.4×	94 0.6×	466 3.5×	167 1.3×	67 0.6×	15	1.2k
Ivan Yevshin	1.1k 1.7×	204 1.2×	230 1.7×	100 0.8×	33 0.3×	22	1.4k
Ryan A. Pak	1.1k 1.8×	140 0.8×	147 1.1×	94 0.7×	28 0.2×	6	1.3k
Jan P. Gerlach	864 1.4×	86 0.5×	100 0.8×	150 1.2×	36 0.3×	12	1.1k
Yusuke Koga	384 0.6×	60 0.4×	138 1.0×	95 0.7×	33 0.3×	24	677

Countries citing papers authored by Sharan Janjuha

Since Specialization

Citations

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

Fields of papers citing papers by Sharan Janjuha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharan Janjuha

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

All Works

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14 of 14 papers shown

1.

Kissling, Lucas, Sharan Janjuha, Nicolas Mathis, et al.. (2025). Predicting adenine base editing efficiencies in different cellular contexts by deep learning. Genome biology. 26(1). 115–115.

2.

Mathis, Nicolas, Ahmed Allam, András Tálas, et al.. (2024). Machine learning prediction of prime editing efficiency across diverse chromatin contexts. Nature Biotechnology. 43(5). 712–719. 27 indexed citations

3.

Singh, Sumeet Pal, Luis Fernando Delgadillo-Silva, Bastiaan Spanjaard, et al.. (2022). A single-cell atlas of de novo β-cell regeneration reveals the contribution of hybrid β/δ-cells to diabetes recovery in zebrafish. Development. 149(2). 23 indexed citations

4.

Frey, Nina, Luigi Tortola, Sharan Janjuha, et al.. (2022). Loss of Rnf31 and Vps4b sensitizes pancreatic cancer to T cell-mediated killing. Nature Communications. 13(1). 1804–1804. 34 indexed citations

5.

Marquart, Kim Fabiano, Ahmed Allam, Sharan Janjuha, et al.. (2021). Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens. Nature Communications. 12(1). 5114–5114. 52 indexed citations

6.

Villiger, Lukas, Tanja Rothgangl, Dominik Witzigmann, et al.. (2021). In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA. Nature Biomedical Engineering. 5(2). 179–189. 75 indexed citations

7.

Frey, Nina, Femke Ringnalda, Sharan Janjuha, et al.. (2020). Genome-Scale CRISPR Screening in Human Intestinal Organoids Identifies Drivers of TGF-β Resistance. Cell stem cell. 26(3). 431–440.e8. 149 indexed citations

8.

Patel, Kuldeep, Sharan Janjuha, Nilesh Gardi, et al.. (2018). Up-regulation of the kinase gene SGK1 by progesterone activates the AP-1–NDRG1 axis in both PR-positive and -negative breast cancer cells. Journal of Biological Chemistry. 293(50). 19263–19276. 24 indexed citations

9.

Janjuha, Sharan, Sumeet Pal Singh, & Nikolay Ninov. (2018). Analysis of Beta-cell Function Using Single-cell Resolution Calcium Imaging in Zebrafish Islets. Journal of Visualized Experiments. 7 indexed citations

10.

Spanjaard, Bastiaan, Bo Hu, Pedro Olivares‐Chauvet, et al.. (2018). Simultaneous lineage tracing and cell-type identification using CRISPR–Cas9-induced genetic scars. Nature Biotechnology. 36(5). 469–473. 350 indexed citations breakdown →

11.

Singh, Sumeet Pal, Sharan Janjuha, Susanne Reinhardt, et al.. (2018). Machine learning based classification of cells into chronological stages using single-cell transcriptomics. Scientific Reports. 8(1). 17156–17156. 14 indexed citations

12.

Janjuha, Sharan, Sumeet Pal Singh, & Nikolay Ninov. (2018). Analysis of Beta-cell Function Using Single-cell Resolution Calcium Imaging in Zebrafish Islets. Journal of Visualized Experiments. 1 indexed citations

13.

Janjuha, Sharan, Sumeet Pal Singh, Anastasia Tsakmaki, et al.. (2018). Age-related islet inflammation marks the proliferative decline of pancreatic beta-cells in zebrafish. eLife. 7. 25 indexed citations

14.

Singh, Sumeet Pal, Sharan Janjuha, Judith Konantz, et al.. (2017). Different developmental histories of beta-cells generate functional and proliferative heterogeneity during islet growth. Nature Communications. 8(1). 664–664. 51 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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