Nayanika Bhalla

704 total citations
6 papers, 239 citations indexed

About

Nayanika Bhalla is a scholar working on Molecular Biology, Dermatology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nayanika Bhalla has authored 6 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Dermatology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Nayanika Bhalla's work include Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Pregnancy and preeclampsia studies (1 paper). Nayanika Bhalla is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Pregnancy and preeclampsia studies (1 paper). Nayanika Bhalla collaborates with scholars based in Sweden, Denmark and Germany. Nayanika Bhalla's co-authors include Patrik L. Ståhl, Jesper Bäckdahl, Hui Gao, Jutta Jalkanen, Qian Li, Niklas Mejhert, Anders Thorell, Alma Andersson, Lovisa Franzén and Lucas Massier and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Cell Metabolism.

In The Last Decade

Nayanika Bhalla

6 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nayanika Bhalla Sweden	5	134	78	69	53	29	6	239
Otto Bergman Sweden	10	89 0.7×	30 0.4×	23 0.3×	34 0.6×	58 2.0×	23	237
Laurent Monbrun France	5	84 0.6×	71 0.9×	77 1.1×	36 0.7×	43 1.5×	6	196
Valeria Lodde Italy	8	169 1.3×	84 1.1×	25 0.4×	65 1.2×	6 0.2×	15	307
Eva Röder Switzerland	3	115 0.9×	82 1.1×	70 1.0×	16 0.3×	18 0.6×	4	215
Mark E. Robinson United States	6	96 0.7×	61 0.8×	79 1.1×	81 1.5×	24 0.8×	17	236
L. Palomera Spain	9	114 0.9×	46 0.6×	37 0.5×	29 0.5×	5 0.2×	21	216
Kirill Batmanov United States	8	119 0.9×	75 1.0×	61 0.9×	23 0.4×	57 2.0×	15	249
Yosi Gozlan Israel	7	110 0.8×	147 1.9×	72 1.0×	51 1.0×	6 0.2×	11	356
Ewa Bielczyk-Maczyńska United States	7	70 0.5×	33 0.4×	20 0.3×	15 0.3×	14 0.5×	12	137
Marie A.C. Depuydt Netherlands	8	62 0.5×	24 0.3×	46 0.7×	179 3.4×	22 0.8×	21	234

Countries citing papers authored by Nayanika Bhalla

Since Specialization

Citations

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

Fields of papers citing papers by Nayanika Bhalla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayanika Bhalla

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Bhalla, Nayanika, Alexander Jönsson, Stefania Giacomello, et al.. (2024). Standalone single- and bi-layered human skin 3D models supported by recombinant silk feature native spatial organization. Biofabrication. 17(1). 15015–15015. 2 indexed citations

2.

Bhalla, Nayanika, Lovisa Franzén, Annika Scheynius, et al.. (2023). Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia. Placenta. 139. 213–216. 5 indexed citations

3.

Bhalla, Nayanika, et al.. (2023). Lokatt: a hybrid DNA nanopore basecaller with an explicit duration hidden Markov model and a residual LSTM network. BMC Bioinformatics. 24(1). 461–461. 4 indexed citations

4.

Llorens-Bobadilla, Enric, Margherita Zamboni, Maja Marklund, et al.. (2023). Solid-phase capture and profiling of open chromatin by spatial ATAC. Nature Biotechnology. 41(8). 1085–1088. 51 indexed citations

5.

Mubarak, Mohammad S., Manja Jargosch, Ali Farnoud, et al.. (2022). Spatial transcriptomics landscape of lesions from non-communicable inflammatory skin diseases. Nature Communications. 13(1). 7729–7729. 39 indexed citations

6.

Bäckdahl, Jesper, Lovisa Franzén, Lucas Massier, et al.. (2021). Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulin. Cell Metabolism. 33(9). 1869–1882.e6. 138 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.

Explore authors with similar magnitude of impact