H. Robert Bergen

4.5k total citations · 1 hit paper
58 papers, 3.4k citations indexed

About

H. Robert Bergen is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, H. Robert Bergen has authored 58 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 17 papers in Spectroscopy and 12 papers in Cell Biology. Recurrent topics in H. Robert Bergen's work include Mass Spectrometry Techniques and Applications (12 papers), Advanced Proteomics Techniques and Applications (12 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers). H. Robert Bergen is often cited by papers focused on Mass Spectrometry Techniques and Applications (12 papers), Advanced Proteomics Techniques and Applications (12 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers). H. Robert Bergen collaborates with scholars based in United States, Denmark and Russia. H. Robert Bergen's co-authors include Julie A. Vrana, Ahmet Doǧan, Jason D. Theis, Jeffrey D. Gamez, Benjamin J. Madden, David C. Muddiman, Ann L. Oberg, Stephen Naylor, John F. O’Brien and Carrie J. Heppelmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

H. Robert Bergen

58 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of amyloidosis by laser microdissection and mass spectrometry–based proteomic analysis in clinical biopsy specimens

2009 603 citations Julie A. Vrana, Jeffrey D. Gamez et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Robert Bergen United States	31	2.4k	647	549	399	378	58	3.4k
Norie Araki Japan	36	2.1k 0.9×	530 0.8×	201 0.4×	486 1.2×	240 0.6×	102	4.6k
Yoshinao Wada Japan	31	2.1k 0.9×	401 0.6×	740 1.3×	114 0.3×	240 0.6×	98	3.3k
Pedro R. Cutillas United Kingdom	37	2.7k 1.2×	172 0.3×	988 1.8×	685 1.7×	145 0.4×	136	4.1k
Colin Reily United States	17	1.7k 0.7×	236 0.4×	159 0.3×	149 0.4×	542 1.4×	29	2.8k
Shu-ichi Ikeda Japan	24	2.6k 1.1×	956 1.5×	53 0.1×	410 1.0×	408 1.1×	42	3.1k
Robin Farias‐Eisner United States	34	1.5k 0.6×	347 0.5×	335 0.6×	471 1.2×	28 0.1×	69	3.8k
Barbara Sitek Germany	33	1.6k 0.7×	216 0.3×	506 0.9×	482 1.2×	36 0.1×	125	3.2k
Radmila Micanovic United States	23	2.6k 1.1×	491 0.8×	63 0.1×	94 0.2×	243 0.6×	43	3.5k
Victor J. Wroblewski United States	30	3.2k 1.4×	740 1.1×	57 0.1×	232 0.6×	74 0.2×	60	5.2k
George L. Dale United States	37	890 0.4×	727 1.1×	82 0.1×	361 0.9×	56 0.1×	113	4.3k

Countries citing papers authored by H. Robert Bergen

Since Specialization

Citations

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

Fields of papers citing papers by H. Robert Bergen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Robert Bergen

This figure shows the co-authorship network connecting the top 25 collaborators of H. Robert Bergen. A scholar is included among the top collaborators of H. Robert Bergen 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 H. Robert Bergen. H. Robert Bergen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tischer, Alexander, Maria A. Brehm, Venkata R. Machha, et al.. (2019). Evidence for the Misfolding of the A1 Domain within Multimeric von Willebrand Factor in Type 2 von Willebrand Disease. Journal of Molecular Biology. 432(2). 305–323. 11 indexed citations

Schafer, Marissa J., Elizabeth J. Atkinson, Patrick M. Vanderboom, et al.. (2016). Quantification of GDF11 and Myostatin in Human Aging and Cardiovascular Disease. Cell Metabolism. 23(6). 1207–1215. 162 indexed citations

Hegenbart, Ute, Christoph Kimmich, Niraja Kedia, et al.. (2016). Aggregation of Full-length Immunoglobulin Light Chains from Systemic Light Chain Amyloidosis (AL) Patients Is Remodeled by Epigallocatechin-3-gallate. Journal of Biological Chemistry. 292(6). 2328–2344. 36 indexed citations

Bergen, H. Robert, Joshua N. Farr, Patrick M. Vanderboom, et al.. (2015). Myostatin as a mediator of sarcopenia versus homeostatic regulator of muscle mass: insights using a new mass spectrometry-based assay. Skeletal Muscle. 5(1). 21–21. 111 indexed citations

Wu, Qiang, Manish Kohli, H. Robert Bergen, et al.. (2014). Preclinical Evaluation of the Supercritical Extract of Azadirachta Indica (Neem) Leaves In Vitro and In Vivo on Inhibition of Prostate Cancer Tumor Growth. Molecular Cancer Therapeutics. 13(5). 1067–1077. 29 indexed citations

Zhai, Xiuhong, Dhirendra K. Simanshu, David Munch, et al.. (2014). Structure-Function Analyses Reveal Arabidopsis Accelerated-Cell-Death11 (Acd11) is a Ceramide-1-Phosphate Transfer Protein that Forms a Gltp-Fold. Biophysical Journal. 106(2). 300a–300a. 1 indexed citations

Hogan, Marie C., Kenneth L. Johnson, Roman M. Zenka, et al.. (2013). Subfractionation, characterization, and in-depth proteomic analysis of glomerular membrane vesicles in human urine. Kidney International. 85(5). 1225–1237. 95 indexed citations

Kenoth, Roopa, Dhirendra K. Simanshu, Ravi Kanth Kamlekar, et al.. (2010). Structural Determination and Tryptophan Fluorescence of Heterokaryon Incompatibility C2 Protein (HET-C2), a Fungal Glycolipid Transfer Protein (GLTP), Provide Novel Insights into Glycolipid Specificity and Membrane Interaction by the GLTP Fold. Journal of Biological Chemistry. 285(17). 13066–13078. 24 indexed citations

Klein, Christopher J., Julie A. Vrana, Jason D. Theis, et al.. (2010). Mass Spectrometric–Based Proteomic Analysis of Amyloid Neuropathy Type in Nerve Tissue. Archives of Neurology. 68(2). 195–9. 91 indexed citations

10.

Sethi, Sanjeev, Jeffrey D. Gamez, Julie A. Vrana, et al.. (2009). Glomeruli of Dense Deposit Disease contain components of the alternative and terminal complement pathway. Kidney International. 75(9). 952–960. 157 indexed citations

11.

O’Brien, John F. & H. Robert Bergen. (2009). Transthyretin Mass Determination for Detection of Transthyretin Familial Amyloid. Methods in molecular biology. 492. 353–365. 3 indexed citations

12.

Choi, Jae Won, Shari L. Sutor, Glenda L. Evans, et al.. (2009). Severe Osteogenesis Imperfecta in Cyclophilin B–Deficient Mice. PLoS Genetics. 5(12). e1000750–e1000750. 71 indexed citations

13.

Rodríguez, Fausto J., Jeffrey D. Gamez, Julie A. Vrana, et al.. (2008). Immunoglobulin derived depositions in the nervous system: novel mass spectrometry application for protein characterization in formalin-fixed tissues. Laboratory Investigation. 88(10). 1024–1037. 80 indexed citations

14.

Benson, Linda M., Christopher J. Mason, Oren Friedman, et al.. (2008). Extensive fractionation and identification of proteins within nasal lavage fluids from allergic rhinitis and asthmatic chronic rhinosinusitis patients. Journal of Separation Science. 32(1). 44–56. 27 indexed citations

15.

Yao, Ke, Yong‐Yeon Cho, H. Robert Bergen, et al.. (2007). Nuclear Factor of Activated T3 Is a Negative Regulator of Ras-JNK1/2-AP-1–Induced Cell Transformation. Cancer Research. 67(18). 8725–8735. 15 indexed citations

16.

Eckel‐Passow, Jeanette E., Ann L. Oberg, Terry M. Therneau, et al.. (2006). Regression analysis for comparing protein samples with 16O/18O stable-isotope labeled mass spectrometry. Bioinformatics. 22(22). 2739–2745. 37 indexed citations

17.

Bergen, H. Robert, Katalin Ajtai, Thomas P. Burghardt, Angelito I. Nepomuceno, & David C. Muddiman. (2003). Mass spectral determination of skeletal/cardiac actin isoform ratios in cardiac muscle. Rapid Communications in Mass Spectrometry. 17(13). 1467–1471. 25 indexed citations

18.

Bergen, H. Robert, Steven R. Zeldenrust, & Stephen Naylor. (2003). An on-line assay for clinical detection of amyloidogenic transthyretin variants directly from serum. Amyloid. 10(3). 190–197. 22 indexed citations

19.

Bergen, H. Robert, Jean M. Lacey, John F. O’Brien, & Stephen Naylor. (2001). Online Single-Step Analysis of Blood Proteins: The Transferrin Story. Analytical Biochemistry. 296(1). 122–129. 30 indexed citations

20.

Bergen, H. Robert, H.C. Furr, & James R. Olson. (1981). Synthesis and characterization of 20-2H3-retinyl acetate. Federation Proceedings. 40. 1 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.

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