Yury Goltsev

6.6k citations
35 papers · 2.8k indexed · 3 hit papers · h-index 17
Topics
Single-cell and spatial transcriptomics (10 papers)Advanced Biosensing Techniques and Applications (6 papers)Cell Image Analysis Techniques (6 papers)

In The Last Decade

Yury Goltsev

33 papers receiving 2.8k citations

Hit Papers

Deep Profiling of Mouse Splenic Architecture with CODEX M...2018202620202023201820202021250500750

Peers

Yury Goltsev
Comparison fields: 5 of 118
  • Molecular Biology 1.9k
  • Immunology 614
  • Biophysics 589
  • Oncology 553
  • Cancer Research 300
Replace Michelle D. Tadmor with:
Michelle D. Tadmor United States
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Matthew B. Hale United States
Shuchun Zhao United States
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Brian Houck‐Loomis United States
Valentine Svensson United Kingdom
Hartland W. Jackson Canada
Laleh Haghverdi Germany
Lennart Kester Netherlands
Yury Goltsev relative to Michelle D. Tadmor United States Michelle D. Tadmor's profile →
Citations per field
00.5×
Michelle D. Tadmor · 1×
Citations per year

Countries citing papers authored by Yury Goltsev

Since Specialization
Citations

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

Fields of papers citing papers by Yury Goltsev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yury Goltsev

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 24
4 12
5 52
6 124
7
CODEX multiplexed tissue imaging with DNA-conjugated antibodiesbreakdown →
301
8 52
9 17
10
Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Frontbreakdown →
499
11 2
12
Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imagingbreakdown →
838
13 141
14 42
15 12
16 73
17 46
18 7
19 66
20 92

About Yury Goltsev

Yury Goltsev is a scholar working on Biophysics, Hematology and Immunology, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Advanced Biosensing Techniques and Applications (6 papers) and Cell Image Analysis Techniques (6 papers). The work is most often cited by research in Biophysics (589 citations), Immunology (614 citations) and Molecular Biology (1.9k citations). Yury Goltsev has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Garry P. Nolan, Nikolay Samusik, Sarah Black, Salil S. Bhate, Julia Kennedy‐Darling, Matthew B. Hale, Gustavo Vazquez, Michael Levine, Christian M. Schürch and Darci J. Phillips. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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