Mika Sarkin Jain

1.7k total citations · 1 hit paper
12 papers, 646 citations indexed

About

Mika Sarkin Jain is a scholar working on Neurology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mika Sarkin Jain has authored 12 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Mika Sarkin Jain's work include Vascular Malformations Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Mika Sarkin Jain is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Mika Sarkin Jain collaborates with scholars based in United States, United Kingdom and China. Mika Sarkin Jain's co-authors include Tarik F. Massoud, Hamish W. King, Oliver Stegle, Alexander Aivazidis, Rasa Elmentaite, Adam Gayoso, Louisa K. James, Elizabeth Tuck, Emma Dann and Jun Sung Park and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Genome biology.

In The Last Decade

Mika Sarkin Jain

9 papers receiving 642 citations

Hit Papers

align trajectories

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.

Cell2location maps fine-grained cell types in spatial transcriptomics

2022 494 citations Vitalii Kleshchevnikov, Artem Shmatko et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mika Sarkin Jain United States	6	486	169	120	104	68	12	646
Marta Interlandi Germany	4	706 1.5×	160 0.9×	139 1.2×	223 2.1×	46 0.7×	5	822
Olle Holmberg Germany	5	374 0.8×	109 0.6×	50 0.4×	90 0.9×	41 0.6×	6	501
Sergei Rybakov United States	5	648 1.3×	176 1.0×	96 0.8×	171 1.6×	52 0.8×	7	763
Artem Lomakin Germany	3	482 1.0×	175 1.0×	127 1.1×	80 0.8×	94 1.4×	3	606
Xing Ren China	10	544 1.1×	133 0.8×	153 1.3×	70 0.7×	108 1.6×	31	724
Linnea Stenbeck Sweden	5	965 2.0×	240 1.4×	255 2.1×	198 1.9×	153 2.3×	7	1.2k
Anna Arutyunyan United States	8	570 1.2×	220 1.3×	134 1.1×	74 0.7×	125 1.8×	10	825
Mingyu Yang China	5	519 1.1×	119 0.7×	121 1.0×	86 0.8×	63 0.9×	9	626
Luli S. Zou United States	7	648 1.3×	179 1.1×	129 1.1×	106 1.0×	86 1.3×	9	793
Michaela Asp Sweden	6	1.0k 2.1×	225 1.3×	205 1.7×	164 1.6×	83 1.2×	8	1.2k

Countries citing papers authored by Mika Sarkin Jain

Since Specialization

Citations

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

Fields of papers citing papers by Mika Sarkin Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mika Sarkin Jain. 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 Mika Sarkin Jain. The network helps show where Mika Sarkin Jain may publish in the future.

Co-authorship network of co-authors of Mika Sarkin Jain

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

All Works

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12 of 12 papers shown

1.

Zhang, Ziqi, Haoran Sun, Xi Chen, et al.. (2023). scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection. Nature Communications. 14(1). 384–384. 22 indexed citations

2.

Kleshchevnikov, Vitalii, Artem Shmatko, Emma Dann, et al.. (2022). Cell2location maps fine-grained cell types in spatial transcriptomics. Nature Biotechnology. 40(5). 661–671. 494 indexed citations breakdown →

3.

Jain, Mika Sarkin, Krzysztof Polański, Cecilia Domínguez Conde, et al.. (2021). MultiMAP: dimensionality reduction and integration of multimodal data. Genome biology. 22(1). 346–346. 44 indexed citations

4.

Jain, Mika Sarkin, N Telischak, Jeremy J. Heit, Huy M., & Tarik F. Massoud. (2021). Comparison of embolization strategies for mixed plexiform and fistulous brain arteriovenous malformations: a computational model analysis of theoretical risks of nidus rupture. Journal of NeuroInterventional Surgery. 14(12). 1213–1219. 4 indexed citations

5.

Jain, Mika Sarkin & Tarik F. Massoud. (2020). Predicting tumour mutational burden from histopathological images using multiscale deep learning. Nature Machine Intelligence. 2(6). 356–362. 60 indexed citations

6.

Jain, Mika Sarkin, Huy M., & Tarik F. Massoud. (2019). Computational Network Modeling of Intranidal Hemodynamic Compartmentalization in a Theoretical Three-Dimensional Brain Arteriovenous Malformation. Frontiers in Physiology. 10. 1250–1250. 8 indexed citations

7.

Jain, Mika Sarkin, Huy M., Max Wintermark, & Tarik F. Massoud. (2019). Large-scale ensemble simulations of biomathematical brain arteriovenous malformation models using graphics processing unit computation. Computers in Biology and Medicine. 113. 103416–103416. 6 indexed citations

8.

Yedavalli, Vivek, N Telischak, Mika Sarkin Jain, & Tarik F. Massoud. (2019). Three‐Dimensional Angles of Confluence of Cortical Bridging Veins and the Superior Sagittal Sinus on MR Venography. Clinical Anatomy. 33(2). 293–299. 2 indexed citations

9.

Yedavalli, Vivek, Mika Sarkin Jain, Devsmita Das, & Tarik F. Massoud. (2019). Are high lumbar punctures safe? A magnetic resonance imaging morphometric study of the conus medullaris. Clinical Anatomy. 32(5). 618–629. 4 indexed citations

10.

Jain, Mika Sarkin & Jack Lindsey. (2018). A Neural Network Model of Complementary Learning Systems.. Cognitive Science.

11.

Jain, Mika Sarkin & Jack Lindsey. (2018). Semiparametric Reinforcement Learning. International Conference on Learning Representations. 1 indexed citations

12.

Jain, Mika Sarkin & Jack Lindsey. (2018). Deep Semiparametric Learning. 1 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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