Robert Daber

1.8k citations
35 papers · 673 · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology
    • Genomic variations and chromosomal abnormalities

Papers in

Robert Daber

33 papers receiving 648 citations

Peers

Robert Daber
Comparison fields: 5 of 85
  • Cancer Research 182
  • Genetics 85
  • Hematology 80
  • Genetics 160
  • Endocrinology, Diabetes and Metabolism 82
Replace Jörn Lausen with:
Jörn Lausen Germany
Zibin Jiang United States
Daniel Nicorici Finland
Michael Zager United States
Anil K. Panigrahi United States
Nasrollah Saleh-Gohari Iran
Yuanying Gong China
Michael P. Holloway United States
Angelina J. Lay Australia
Carine Tran‐Perennou France
Robert Daber relative to Jörn Lausen Germany Jörn Lausen's profile →
Citations per field
00.5×1.5×2.3×
Jörn Lausen · 1×
Citations per year

Countries citing papers authored by Robert Daber

Since Specialization
Citations

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

Fields of papers citing papers by Robert Daber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015138
2 201374
3 200769
4 201248
5 201539
6 201127
7 200925
8 201025
9 201124
10 200921
11 201420
12 200920
13 201418
14 201618
15 201916
16 201111
17 201410
18 201810
19
Rare Complex Mutational Profile in an ALK Inhibitor-resistant Non-small Cell Lung Cancer.
201510
20 20169

About Robert Daber

Robert Daber is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Hematology, having authored 35 papers that have together received 673 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Genomic variations and chromosomal abnormalities (6 papers), Acute Myeloid Leukemia Research (5 papers), RNA and protein synthesis mechanisms (4 papers), Genetic factors in colorectal cancer (3 papers), Bacterial Genetics and Biotechnology (3 papers), Molecular Biology Techniques and Applications (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Cancer Research (182 citations), Genetics (85 citations), Hematology (80 citations), Genetics (160 citations) and Endocrinology, Diabetes and Metabolism (82 citations). Robert Daber has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Mitchell Lewis, Jennifer J.D. Morrissette, Allison F. Rosenberg, Steven E. Stayrook, Daniel DeSloover, Laura K. Conlin, Kurt D’Andrea, Lauren Fishbein, Virginia A. LiVolsi and Nam Woo Cho. Their work appears in journals such as Journal of Clinical Oncology, Journal of Molecular Biology, PLoS ONE, Cancer Research and Clinical Cancer 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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