Irina Khven

1.1k total citations · 1 hit paper
7 papers, 392 citations indexed

About

Irina Khven is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Irina Khven has authored 7 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Neurology. Recurrent topics in Irina Khven's work include Single-cell and spatial transcriptomics (4 papers), RNA and protein synthesis mechanisms (3 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Irina Khven is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), RNA and protein synthesis mechanisms (3 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Irina Khven collaborates with scholars based in Switzerland, United States and Sweden. Irina Khven's co-authors include Gioele La Manno, Alex R. Lederer, Elin Vinsland, Alessandro Furlan, Mats Nilsson, Christoffer Mattsson Langseth, Kimberly Siletti, Alejandro Mossi Albiach, Peter Lönnerberg and Daniel Gyllborg and has published in prestigious journals such as Nature, Nature Communications and Development.

In The Last Decade

Irina Khven

6 papers receiving 390 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.

Molecular architecture of the developing mouse brain

2021 256 citations Gioele La Manno, Kimberly Siletti et al. Nature profile →

Peers

Countries citing papers authored by Irina Khven

Since Specialization

Citations

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

Fields of papers citing papers by Irina Khven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Khven

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression 2025 ·Nature Methods ·(unknown), Antonio Herrera, Irina Khven, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Suliana Manley, Anna Kreshuk, Detlev Arendt, Can Aztekin, Joachim Lingner, Gioele La Manno, Martin Weigert	2
2	Unified mass imaging maps the lipidome of vertebrate development 2025 ·Nature Methods ·(unknown), (unknown), Laurel A. Rohde, Antonio Herrera, (unknown), Guillaume Valentin, (unknown), (unknown), (unknown), Jonathan Paz Montoya, Laura Capolupo, Irina Khven, Andrew C. Oates, Giovanni D’Angelo, Gioele La Manno	0
3	Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations 2024 ·Nature Methods ·Alex R. Lederer, (unknown), Lorenzo Figà Talamanca, (unknown), Antonio Herrera, (unknown), Irina Khven, (unknown), (unknown), (unknown), (unknown), Luca Pinello, Félix Naef, Gioele La Manno	7
4	Self-organizing in vitro mouse neural tube organoids mimic embryonic development 2022 ·Development ·Jisoo Park, (unknown), Irina Khven, Gioele La Manno, Matthias P. Lütolf	11
5	Molecular architecture of the developing mouse brain breakdown → 2021 ·Nature ·Gioele La Manno, Kimberly Siletti, Alessandro Furlan, Daniel Gyllborg, Elin Vinsland, Alejandro Mossi Albiach, Christoffer Mattsson Langseth, Irina Khven, Alex R. Lederer, Lisa M. Dratva, Anna Johnsson, Mats Nilsson, Peter Lönnerberg, Sten Linnarsson	256
6	Structure of ribosome-bound azole-modified peptide phazolicin rationalizes its species-specific mode of bacterial translation inhibition 2019 ·Nature Communications ·Dmitrii Y. Travin, Zoe L. Watson, Mikhail Metelev, Fred R. Ward, Ilya А. Osterman, Irina Khven, Nelli F. Khabibullina, Marina V. Serebryakova, Peter Mergaert, Yury S. Polikanov, J.H.D. Cate, Konstantin Severinov	46
7	Sorting Out Antibiotics' Mechanisms of Action: a Double Fluorescent Protein Reporter for High-Throughput Screening of Ribosome and DNA Biosynthesis Inhibitors 2016 ·Antimicrobial Agents and Chemotherapy ·Ilya А. Osterman, Ekaterina S. Komarova, (unknown), (unknown), Irina Khven, Dmitry Lukyanov, Vadim N. Tashlitsky, Marina V. Serebryakova, Olga V. Efremenkova, Yan A. Ivanenkov, Alexey A. Bogdanov, Петр В. Сергиев, Olga А. Dontsova	70

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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