Susan Belzer

1.5k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Susan Belzer is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Susan Belzer has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Genetics. Recurrent topics in Susan Belzer's work include Virus-based gene therapy research (4 papers), Peptidase Inhibition and Analysis (3 papers) and Animal Disease Management and Epidemiology (3 papers). Susan Belzer is often cited by papers focused on Virus-based gene therapy research (4 papers), Peptidase Inhibition and Analysis (3 papers) and Animal Disease Management and Epidemiology (3 papers). Susan Belzer collaborates with scholars based in United States. Susan Belzer's co-authors include Marc S. Collett, Ernest F. Retzel, Ruby J. Larson, Johan Skog, Mikkel Noerholm, Vince O’Neill, Michael Donovan, Stefan Bentink, M. WISKERCHEN and Gordon Brown and has published in prestigious journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and Journal of Virology.

In The Last Decade

Susan Belzer

15 papers receiving 1.1k 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.

A Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer at Initial Biopsy

2016 489 citations James M. McKiernan, Michael Donovan et al. JAMA Oncology profile →

Peers

Susan Belzer

ACS

PRM

EEBS

Donna M. D’Agostino Italy

Makoto Yamagishi Japan

Yuzo Nagai Japan

Elizabeth Medcalf United Kingdom

S G Devare United States

Katalin Fábián Hungary

R. Mark Simpson United States

Setsuko Ishida Japan

E Jaworski United States

Pei‐Yu Chu Taiwan

Donna M. D’Agostino Italy

Susan Belzer

938 ×1.6

590 ×1.5

ACS

411 ×1.1

48 ×0.2

PRM

560 ×3.0

EEBS

Citations per year, relative to Susan Belzer Susan Belzer (= 1×) peers Donna M. D’Agostino

Countries citing papers authored by Susan Belzer

Since Specialization

Citations

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

Fields of papers citing papers by Susan Belzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Belzer

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

All Works

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15 of 15 papers shown

McKiernan, James M., Michael Donovan, Vince O’Neill, et al.. (2016). A Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer at Initial Biopsy. JAMA Oncology. 2(7). 882–882. 489 indexed citations breakdown →

McKiernan, James M., Michael Donovan, Vince O’Neill, et al.. (2015). PII-LBA2 VALIDATION OF A NOVEL NON-INVASIVE URINE EXOSOME GENE EXPRESSION ASSAY TO PREDICT HIGH-GRADE PROSTATE CANCER IN PATIENTS UNDERGOING INITIAL BIOPSY WITH AN EQUIVOCAL PSA.. The Journal of Urology. 193(4S). 2 indexed citations

Donovan, Michael, Mikkel Noerholm, Stefan Bentink, et al.. (2015). A molecular signature of PCA3 and ERG exosomal RNA from non-DRE urine is predictive of initial prostate biopsy result. Prostate Cancer and Prostatic Diseases. 18(4). 370–375. 136 indexed citations

Donovan, Michael, Mikkel Noerholm, Stefan Bentink, et al.. (2015). Interim performance of a non-DRE urine exosome gene signature to predict Gleason ≥7 prostate cancer on initial prostate needle biopsy from patients enrolled in a prospective observational trial.. Journal of Clinical Oncology. 33(15_suppl). 5064–5064. 2 indexed citations

Donovan, M. J., James A. Eastham, James M. McKiernan, et al.. (2015). 2576 A non-invasive urine exosome gene expression assay (Exo106) accurately predicts pathologic stage and grade in the prostatectomy specimen. European Journal of Cancer. 51. S503–S503. 1 indexed citations

Donovan, Michael, Mikkel Noerholm, Stefan Bentink, et al.. (2015). A first catch, non-DRE urine exosome gene signature to predict Gleason 7 prostate cancer on an initial prostate needle biopsy.. Journal of Clinical Oncology. 33(7_suppl). 45–45. 3 indexed citations

McKiernan, James M., Daniel R. Saltzstein, James S. Cochran, et al.. (2013). 2053 URINARY EXOSOMES/MICROVESICLES AS A NON-INVASIVE PLATFORM FOR PROSTATE CANCER ANALYSIS. The Journal of Urology. 189(4S). 1 indexed citations

Skog, Johan, Mikkel Noerholm, Stefan Bentink, et al.. (2013). Abstract B34: Development of a urine microvesicle/exosome RNA biomarker panel to identify prostate cancer.. Molecular Cancer Therapeutics. 12(11_Supplement). B34–B34. 1 indexed citations

Collett, Marc S., et al.. (1991). Bovine viral diarrhea virus genomic organization. PubMed. 3. 19–27. 80 indexed citations

10.

WISKERCHEN, M., Susan Belzer, & Marc S. Collett. (1991). Pestivirus gene expression: the first protein product of the bovine viral diarrhea virus large open reading frame, p20, possesses proteolytic activity. Journal of Virology. 65(8). 4508–4514. 98 indexed citations

11.

Collett, Marc S., Ruby J. Larson, Susan Belzer, & Ernest F. Retzel. (1988). Proteins encoded by bovine viral diarrhea virus: The genomic organization of a pestivirus. Virology. 165(1). 200–208. 263 indexed citations

12.

Collett, Marc S. & Susan Belzer. (1987). Forms of pp60v-src isolated from Rous sarcoma virus-transformed cells. Journal of Virology. 61(5). 1593–1601. 5 indexed citations

13.

Collett, Marc S., Susan Belzer, & A F Purchio. (1984). Structurally and functionally modified forms of pp60v-src in Rous sarcoma virus-transformed cell lysates.. Molecular and Cellular Biology. 4(7). 1213–1220. 21 indexed citations

14.

Collett, Marc S., et al.. (1984). Enzymatic characteristics of pp60^v‐src isolated from vanadium‐treated transformed cells. Journal of Cellular Biochemistry. 26(2). 95–106. 6 indexed citations

15.

Collett, Marc S., Susan Belzer, & A F Purchio. (1984). Structurally and Functionally Modified Forms of pp60^v-src in Rous Sarcoma Virus-Transformed Cell Lysates. Molecular and Cellular Biology. 4(7). 1213–1220. 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.

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