Tamir Chandra

8.3k citations
47 papers · 4.6k indexed · 2 hit papers · h-index 25

Impact in

Papers in

Tamir Chandra

46 papers receiving 4.5k citations

Hit Papers

cGAS surveillance of micronuclei links genome instability to innate immunity 2017 · 1.2k citations
1.2k20172026202020232505007501000

Peers

Tamir Chandra
Comparison fields: 5 of 141
  • Aging 164
  • Immunology 1.2k
  • Molecular Biology 3.4k
  • Cancer Research 606
  • Biophysics 198
Replace Danielle Dionne with:
Danielle Dionne United States
Zeynep Kalender Atak Belgium
Gert Hulselmans Belgium
Qikai Xu United States
Carmen Bravo González‐Blas Belgium
Kai Tan United States
Hana Imrichová Belgium
Vân Anh Huynh‐Thu Belgium
Aaron T. L. Lun Australia
Caleb A. Lareau United States
Tamir Chandra relative to Danielle Dionne United States Danielle Dionne's profile →
Citations per field
00.5×4.2×
Danielle Dionne · 1×
Citations per year

Countries citing papers authored by Tamir Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Tamir Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tamir Chandra, 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 Tamir Chandra Line = papers co-authored together Tamir Chandra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 202317
4 202259
5 202221
6 2021106
7 202055
8 202022
9 2020130
10 201917
11 201998
12 2018123
13
SC3: consensus clustering of single-cell RNA-seq data
Hit paper breakdown →
2017920
14 201753
15 20173
16 201745
17 201698
18 201642
19 201237
20 201223

About Tamir Chandra

Tamir Chandra is a scholar working on Aging, Hematology, Molecular Biology, Physiology and Cancer Research, having authored 47 papers that have together received 4.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Telomeres, Telomerase, and Senescence (11 papers), Single-cell and spatial transcriptomics (8 papers), CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers), Pluripotent Stem Cells Research (6 papers), Acute Myeloid Leukemia Research (5 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Aging (164 citations), Immunology (1.2k citations), Molecular Biology (3.4k citations), Cancer Research (606 citations) and Biophysics (198 citations). Tamir Chandra has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kristina Kirschner, Daniel J. Simpson, Wolf Reik, Nelly Olova, Anthony R. Green, Vladimir Yu Kiselev, Martin Hemberg, Mauricio Barahona, Tallulah Andrews and Kedar Nath Natarajan. Their work appears in journals such as Cell Reports, Aging Cell, Cell stem cell, Nature Aging and Genes & Development.

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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