Kevin K. Dobbin

6.4k citations
55 papers · 3.1k indexed · 1 hit paper · h-index 26

Kevin K. Dobbin

53 papers receiving 3.1k citations

Hit Papers

Pitfalls in the Use of DNA Microarray Data for Diagnostic...7472003202620102018200400600

Peers

Kevin K. Dobbin
Comparison fields: 5 of 186
  • Cancer Research 472
  • Hematology 294
  • Statistics and Probability 201
  • Molecular Biology 1.5k
  • Oncology 465
Replace Balasubramanian Narasimhan with:
Balasubramanian Narasimhan United States
Knut Liestøl Norway
Marco Ramoni United States
John E. Tomaszewski United States
Federico Ambrogi Italy
Momiao Xiong United States
Robert W. Veltri United States
Serge Koscielny France
Gary Longton United States
Pascal Roy France
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Citations per field
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Balasubramanian Narasimhan · 1×
Citations per year

Countries citing papers authored by Kevin K. Dobbin

Since Specialization
Citations

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

Fields of papers citing papers by Kevin K. Dobbin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin K. Dobbin. 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 Kevin K. Dobbin. The network helps show where Kevin K. Dobbin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20235
4 20221
5 20204
6 20201
7 201725
8 201678
9 20165
10 20153
11 201541
12 201555
13 20137
14 201130
15 2010395
16 200891
17 20084
18 200736
19 200551
20 2004104

About Kevin K. Dobbin

Kevin K. Dobbin is a scholar working on Statistics and Probability, Applied Microbiology and Biotechnology and Family Practice, having authored 55 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (16 papers), Molecular Biology Techniques and Applications (11 papers), Statistical Methods in Clinical Trials (9 papers), Tuberculosis Research and Epidemiology (7 papers), Cancer Genomics and Diagnostics (6 papers), Veterinary Oncology Research (5 papers), Statistical Methods and Inference (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Cancer Research (472 citations), Hematology (294 citations) and Statistics and Probability (201 citations). Kevin K. Dobbin has collaborated with scholars based in United States, Uganda and Sweden. Frequent co-authors include Richard Simon, Michael D. Radmacher, Lisa M. McShane, Richard Simon, Richard H. Simon, Joanna H. Shih, Yingdong Zhao, Cheryl L. Willman, W. Paul Bowman and William L. Carroll. Their work appears in journals such as Biostatistics, Bioinformatics, Journal for ImmunoTherapy of Cancer, Clinical Cancer Research and JNCI Journal of the National Cancer Institute.

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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