Nikolay Samusik

7.9k citations

32 papers · 4.3k indexed · 5 hit papers · h-index 19

Biophysics top 0.2%
- Cell Image Analysis Techniques 11
Immunology top 2%
- Immune cells in cancer 6
Molecular Biology top 2%
- Single-cell and spatial transcriptomics 17
- Advanced Biosensing Techniques and Applications 4
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
Developmental Neuroscience top 5%
Cancer Research top 5%
Hematology
- Acute Myeloid Leukemia Research 3
Oncology
- Cancer Immunotherapy and Biomarkers 3

Co-authors: Garry P. Nolan Yury Goltsev Sarah Black Salil S. Bhate Julia Kennedy‐Darling Gustavo Vazquez Matthew B. Hale Christian M. Schürch
Cited by: Biophysics Immunology Molecular Biology
Journals: Nature (1 paper)Science (1 paper)Cell (2 papers)
Partner nations: United States Germany Russia

In The Last Decade

Nikolay Samusik

32 papers receiving 4.3k citations

Hit Papers

5 papers align trajectories log scale

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.

2021 Nature Protocols
2020 Cell
2018 Science
2018 Cell
2012 Proceedings of the National Academy of Sciences

Peers

Countries citing papers authored by Nikolay Samusik

Since Specialization

Citations

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

Fields of papers citing papers by Nikolay Samusik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nikolay Samusik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nikolay Samusik Line = papers co-authored together Nikolay Samusik links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA Nature Methods ·Weiruo Zhang,Irene Li,Nathan E. Reticker-Flynn,Zinaida Good,Serena Chang,Nikolay Samusik,Saumyaa Saumyaa,Yuanyuan Li,Xin Zhou,Rachel Liang,Christina S. Kong,Quynh‐Thu Le,Andrew J. Gentles,John B. Sunwoo,Garry P. Nolan,Edgar G. Engleman,Sylvia K. Plevritis	2022	57
2	CODEX multiplexed tissue imaging with DNA-conjugated antibodiesbreakdown → Nature Protocols ·Sarah Black,Darci J. Phillips,John W. Hickey,Julia Kennedy‐Darling,Vishal G. Venkataraaman,Nikolay Samusik,Yury Goltsev,Christian M. Schürch,Garry P. Nolan	2021	301
3	Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction European Journal of Immunology ·Julia Kennedy‐Darling,Salil S. Bhate,John W. Hickey,Sarah Black,Graham L. Barlow,Gustavo Vazquez,Vishal G. Venkataraaman,Nikolay Samusik,Yury Goltsev,Christian M. Schürch,Garry P. Nolan	2021	52
4	Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis Communications Biology ·Maeve O’Huallachain,Felice-Alessio Bava,Mary Shen,Carolina Dallett,Sri Paladugu,Nikolay Samusik,Simon Yu,Razika Hussein,Grantland Hillman,Samuel G. Higgins,Melanie Lou,Angelica Trejo,Laura Qin,Yu Chuan Tai,Shigemi Kinoshita,Astraea Jager,Deval Lashkari,Yury Goltsev,Sedide Öztürk,Garry P. Nolan	2020	17
5	Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Frontbreakdown → Cell ·Christian M. Schürch,Salil S. Bhate,Graham L. Barlow,Darci J. Phillips,Luca Noti,Inti Zlobec,Pauline Chu,Sarah Black,János Demeter,David R. McIlwain,Shigemi Kinoshita,Nikolay Samusik,Yury Goltsev,Garry P. Nolan	2020	499
6	Author Correction: Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis Communications Biology ·Maeve O’Huallachain,Felice-Alessio Bava,Mary Shen,Carolina Dallett,Sri Paladugu,Nikolay Samusik,Simon Yu,Razika Hussein,Grantland Hillman,Samuel G. Higgins,Melanie Lou,Angelica Trejo,Laura Qin,Yu Chuan Tai,Shigemi Kinoshita,Astraea Jager,Deval Lashkari,Yury Goltsev,Sedide Öztürk,Garry P. Nolan	2020	2
7	Profiling myelodysplastic syndromes by mass cytometry demonstrates abnormal progenitor cell phenotype and differentiation Cytometry Part B Clinical Cytometry ·Gregory K. Behbehani,Rachel Finck,Nikolay Samusik,Kunju Sridhar,Wendy J. Fantl,Peter L. Greenberg,Garry P. Nolan	2020	21
8	Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells Nature Biotechnology ·Zinaida Good,Luciene Borges,Nora Vivanco Gonzalez,Bita Sahaf,Nikolay Samusik,Robert Tibshirani,Garry P. Nolan,Sean C. Bendall	2019	38
9	Three-dimensional intact-tissue sequencing of single-cell transcriptional statesbreakdown → Science ·Xiao Wang,William E. Allen,Matthew A. Wright,Emily Sylwestrak,Nikolay Samusik,Sam Vesuna,Kathryn E. Evans,Cindy Liu,Charu Ramakrishnan,Jia Liu,Garry P. Nolan,Felice-Alessio Bava,Karl Deisseroth	2018	941
10	Single-Cell Developmental Classification of B-Cell Precursor Acute Lymphoblastic Leukemia at Diagnosis Reveals Predictors of Relapse Experimental Hematology ·Kara L. Davis,Zinaida Good,Jolanda Sarno,Astraea Jager,Nikolay Samusik,Nima Aghaeepour,Erin F. Simonds,Leah White,Norman J. Lacayo,Wendy J. Fantl,Grazia Fazio,Giuseppe Gaipa,Andrea Biondi,Robert Tibshirani,Sean C. Bendall,Garry P. Nolan	2018	1
11	Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse Nature Medicine ·Zinaida Good,Jolanda Sarno,Astraea Jager,Nikolay Samusik,Nima Aghaeepour,Erin F. Simonds,Leah White,Norman J. Lacayo,Wendy J. Fantl,Grazia Fazio,Giuseppe Gaipa,Andrea Biondi,Robert Tibshirani,Sean C. Bendall,Garry P. Nolan,Kara L. Davis	2018	85
12	Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imagingbreakdown → Cell ·Yury Goltsev,Nikolay Samusik,Julia Kennedy‐Darling,Salil S. Bhate,Matthew B. Hale,Gustavo Vazquez,Sarah Black,Garry P. Nolan	2018	838
13	Single-cell mass cytometry reveals distinct populations of brain myeloid cells in mouse neuroinflammation and neurodegeneration models Nature Neuroscience ·Bahareh Ajami,Nikolay Samusik,Peter Wieghofer,Peggy P. Ho,Andrea Crotti,Zach B. Bjornson,Marco Prinz,Wendy J. Fantl,Garry P. Nolan,Lawrence Steinman	2018	236
14	High-resolution myogenic lineage mapping by single-cell mass cytometry Nature Cell Biology ·Ermelinda Porpiglia,Nikolay Samusik,Andrew Tri Van Ho,Benjamin D. Cosgrove,Thach Mai,Kara L. Davis,Astraea Jager,Garry P. Nolan,Sean C. Bendall,Wendy J. Fantl,Helen M. Blau	2017	81
15	Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks PLoS Computational Biology ·Ye Henry Li,Dangna Li,Nikolay Samusik,Xiaowei Wang,Leying Guan,Garry P. Nolan,Wing Hung Wong	2017	6
16	Automated mapping of phenotype space with single-cell data Nature Methods ·Nikolay Samusik,Zinaida Good,Matthew H. Spitzer,Kara L. Davis,Garry P. Nolan	2016	262
17	Mass Cytometric Functional Profiling of Acute Myeloid Leukemia Defines Cell-Cycle and Immunophenotypic Properties That Correlate with Known Responses to Therapy Cancer Discovery ·Gregory K. Behbehani,Nikolay Samusik,Zach B. Bjornson,Wendy J. Fantl,Bruno C. Medeiros,Garry P. Nolan	2015	74
18	PBOV1 Is a Human De Novo Gene with Tumor-Specific Expression That Is Associated with a Positive Clinical Outcome of Cancer PLoS ONE ·Nikolay Samusik,Larisa L. Krukovskaya,Irina Meln,Е. С. Шилов,Andrei P. Kozlov	2013	34
19	Integration of Chemical and RNAi Multiparametric Profiles Identifies Triggers of Intracellular Mycobacterial Killing Cell Host & Microbe ·Varadharajan Sundaramurthy,Rico Barsacchi,Nikolay Samusik,Giovanni Marsico,Jérôme Gilleron,Inna Kalaidzidis,Felix Meyenhofer,Marc Bickle,Yannis Kalaidzidis,Marino Zerial	2013	65
20	Evolutionary analysis of sequences expressed in tumors Ecological genetics ·Nikolay Samusik,Yuriy P. Galachyants,А. P. Kozlov	2009	2

About Nikolay Samusik

Nikolay Samusik is a scholar working on Biophysics, Immunology and Molecular Biology, having authored 32 papers that have together received 4.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), Cell Image Analysis Techniques (11 papers), Immune cells in cancer (6 papers), Advanced Biosensing Techniques and Applications (4 papers), Gene expression and cancer classification (4 papers), Acute Myeloid Leukemia Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Biophysics (945 citations), Immunology (971 citations) and Molecular Biology (3.0k citations). Nikolay Samusik has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Garry P. Nolan, Yury Goltsev, Sarah Black, Salil S. Bhate, Julia Kennedy‐Darling, Gustavo Vazquez, Matthew B. Hale, Christian M. Schürch, Felice-Alessio Bava and Xiao Wang. Their work appears in journals such as Nature, Science and Cell.

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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