Rob Burgess

978 total citations
10 papers, 807 citations indexed

About

Rob Burgess is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rob Burgess has authored 10 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rob Burgess's work include Advanced Biosensing Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and RNA Research and Splicing (2 papers). Rob Burgess is often cited by papers focused on Advanced Biosensing Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and RNA Research and Splicing (2 papers). Rob Burgess collaborates with scholars based in United States and China. Rob Burgess's co-authors include Eric N. Olson, Peter Cserjesi, Keith L. Ligon, Doris Brown, Alan Rawls, Allan Bradley, Ruo‐Pan Huang, Shuhong Luo, Valerie Sloane Jones and Ren-Yu Huang and has published in prestigious journals such as Nature, International Journal of Molecular Sciences and Annals of the New York Academy of Sciences.

In The Last Decade

Rob Burgess

9 papers receiving 795 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rob Burgess United States	8	544	192	178	105	77	10	807
Peiguo Ding China	12	443 0.8×	248 1.3×	156 0.9×	60 0.6×	95 1.2×	17	819
Thomas Grussenmeyer Germany	15	360 0.7×	166 0.9×	201 1.1×	99 0.9×	47 0.6×	29	690
Mitsuhiro Suzuki Japan	13	501 0.9×	148 0.8×	103 0.6×	81 0.8×	127 1.6×	21	723
Ioana Visan United States	12	465 0.9×	139 0.7×	406 2.3×	52 0.5×	60 0.8×	75	913
Christoph Schorl United States	18	503 0.9×	134 0.7×	116 0.7×	76 0.7×	141 1.8×	36	844
Jingchun Yang United States	13	404 0.7×	170 0.9×	171 1.0×	38 0.4×	69 0.9×	30	731
Vı́tězslav Křı́ž Czechia	16	545 1.0×	127 0.7×	68 0.4×	103 1.0×	58 0.8×	26	755
Olga Ermakova Italy	16	440 0.8×	66 0.3×	136 0.8×	84 0.8×	65 0.8×	29	725
Bert Eussen Netherlands	11	317 0.6×	109 0.6×	111 0.6×	92 0.9×	36 0.5×	18	569
Maija Garnaas United States	12	686 1.3×	142 0.7×	198 1.1×	151 1.4×	185 2.4×	17	960

Countries citing papers authored by Rob Burgess

Since Specialization

Citations

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

Fields of papers citing papers by Rob Burgess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Burgess

This figure shows the co-authorship network connecting the top 25 collaborators of Rob Burgess. A scholar is included among the top collaborators of Rob Burgess based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rob Burgess. Rob Burgess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Burgess, Rob, Valerie Sloane Jones, Yanqing Yang, et al.. (2019). Quantitative proteomic analyses in blood: A window to human health and disease. Journal of Leukocyte Biology. 106(3). 759–775. 9 indexed citations

2.

Huang, Wei, et al.. (2018). New Insights into the Tumor Microenvironment Utilizing Protein Array Technology. International Journal of Molecular Sciences. 19(2). 559–559. 26 indexed citations

3.

Burgess, Rob & Ruo‐Pan Huang. (2016). Cancer Stem Cell Biomarker Discovery Using Antibody Array Technology. Advances in clinical chemistry. 73. 109–125. 7 indexed citations

4.

Burgess, Rob. (2016). Stem Cells: A Short Course.

5.

Wilson, Jarad, Rob Burgess, Yingqing Mao, et al.. (2015). Antibody Arrays in Biomarker Discovery. Advances in clinical chemistry. 69. 255–324. 28 indexed citations

6.

Burkholder, Brett, Ren-Yu Huang, Rob Burgess, et al.. (2014). Tumor-induced perturbations of cytokines and immune cell networks. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1845(2). 182–201. 290 indexed citations

7.

Olson, Eric N., Doris Brown, Rob Burgess, & Peter Cserjesi. (1996). A New Subclass of Helix‐Loop‐Helix Transcription Factors Expressed in Paraxial Mesoderm and Chondrogenic Cell Lineages. Annals of the New York Academy of Sciences. 785(1). 108–118. 10 indexed citations

8.

Burgess, Rob, Alan Rawls, Doris Brown, Allan Bradley, & Eric N. Olson. (1996). Requirement of the paraxis gene for somite formation and musculoskeletal patterning. Nature. 384(6609). 570–573. 196 indexed citations

9.

Burgess, Rob, Peter Cserjesi, Keith L. Ligon, & Eric N. Olson. (1995). Paraxis: A Basic Helix-Loop-Helix Protein Expressed in Paraxial Mesoderm and Developing Somites. Developmental Biology. 168(2). 296–306. 177 indexed citations

10.

Olson, Eric N., Rob Burgess, & Jeff L. Staudinger. (1993). Protein kinase C as a transducer of nuclear signals.. PubMed. 4(8). 699–705. 64 indexed citations

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.

Explore authors with similar magnitude of impact