Rob Striker

84 papers receiving 3.7k citations

Rob Striker's Hit Papers

Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis 2020 · 528 citations
5280+2+4Years since publication100200300400500

Peers

Rob Striker
Comparison fields: 5 of 138
  • Endocrinology 338
  • Hepatology 338
  • Virology 160
  • Infectious Diseases 583
  • Genetics 817
Replace Benjamin Misselwitz with:
Benjamin Misselwitz Switzerland
Julie Magarian Blander United States
Marcel R. de Zoete Netherlands
Eyal Raz United States
Christophe Van Huffel United States
Alexander H. Dalpke Germany
J. Rodrigo Mora United States
Sing Sing Way United States
Sammy Bedoui Australia
Rob Striker relative to Benjamin Misselwitz Switzerland Benjamin Misselwitz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rob Striker

Since Specialization
Citations

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

Fields of papers citing papers by Rob Striker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis
Hit paper breakdown →
2020528
2 2011335
3 2017193
4 1993188
5 2021165
6 2019157
7 1994127
8 1994109
9 2012100
10 2020100
11 200796
12 201390
13 201184
14 202179
15 201079
16 199557
17 199255
18 201054
19 201651
20 199651

About Rob Striker

Rob Striker is a scholar working on Infectious Diseases, Virology, Hepatology, Endocrinology and Epidemiology, having authored 86 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), HIV Research and Treatment (9 papers), Escherichia coli research studies (7 papers), HIV/AIDS drug development and treatment (7 papers), Cervical Cancer and HPV Research (6 papers), Mosquito-borne diseases and control (6 papers), Biochemical and Molecular Research (5 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Endocrinology (338 citations), Hepatology (338 citations), Virology (160 citations), Infectious Diseases (583 citations) and Genetics (817 citations). Rob Striker has collaborated with scholars based in United States, Sweden and Ethiopia. Frequent co-authors include Scott J. Hultgren, Françoise Jacob‐Dubuisson, Allison Bearden, Joseph A. McBride, Karen Dodson, Israrul Haque Ansari, Julie A. Keating, Dipankar Bhattacharya, Fiona Fernandes and Spencer W. Hoover. Their work appears in journals such as PLoS ONE, Journal of Virology, JAMA Network Open, Journal of Biological Chemistry and Virology.

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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