Daniel Backenroth

1.4k citations
28 papers · 448 · h-index 12

Impact in

    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Genetic Associations and Epidemiology
    • Cancer Genomics and Diagnostics

Papers in

Daniel Backenroth

27 papers receiving 439 citations

Peers

Daniel Backenroth
Comparison fields: 5 of 92
  • Genetics 143
  • Cancer Research 73
  • Statistics and Probability 33
  • Pediatrics, Perinatology and Child Health 78
  • Oncology 96
Replace Katharina Schwarze with:
Katharina Schwarze Germany
Michael C. Quinn Canada
Joanna Zhuang United Kingdom
Simon Hartley United Kingdom
Lara Sucheston United States
Amber N. Hurson United Kingdom
Latchezar Dimitrov United States
Geoff Watson Australia
Hege Bøvelstad Norway
Michael Feolo United States
Daniel Backenroth relative to Katharina Schwarze Germany Katharina Schwarze's profile →
Citations per field
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Katharina Schwarze · 1×
Citations per year

Countries citing papers authored by Daniel Backenroth

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Backenroth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201487
2 201848
3 202147
4 202140
5 201836
6 201623
7 202222
8 201621
9 202118
10 201917
11 201613
12 201713
13 201710
14 20217
15 20217
16 20196
17 20235
18 20235
19 20215
20 20194

About Daniel Backenroth

Daniel Backenroth is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 28 papers that have together received 448 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Lung Cancer Treatments and Mutations (5 papers), Prenatal Screening and Diagnostics (4 papers), Statistical Methods in Clinical Trials (4 papers), Advanced Causal Inference Techniques (3 papers), Genetic Associations and Epidemiology (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Genetics (143 citations), Cancer Research (73 citations), Statistics and Probability (33 citations), Pediatrics, Perinatology and Child Health (78 citations) and Oncology (96 citations). Daniel Backenroth has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Yufeng Shen, Shai Carmi, Elizabeth Goldmuntz, Richard P. Lifton, Jason Homsy, Joseph Glessner, Martina Brueckner, Edwin Lin, Wendy K. Chung and Joshua Bauml. Their work appears in journals such as Journal of Clinical Oncology, Blood, Genetics in Medicine, Lung Cancer and Biometrics.

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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