Anne E. Prada

2.5k total citations · 1 hit paper
18 papers, 2.0k citations indexed

About

Anne E. Prada is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Anne E. Prada has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Hematology. Recurrent topics in Anne E. Prada's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Hemophilia Treatment and Research (3 papers). Anne E. Prada is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Hemophilia Treatment and Research (3 papers). Anne E. Prada collaborates with scholars based in United States, Australia and Ireland. Anne E. Prada's co-authors include Kamyar Zahedi, Jaya Mishra, Prasad Devarajan, Jonathan Barasch, Mark Mitsnefes, Jun Yang, Qing Ma, Alvin E. Davis, C. Frederic Strife and Jack Bleesing and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Virology.

In The Last Decade

Anne E. Prada

18 papers receiving 1.9k citations

Hit Papers

Identification of Neutrophil Gelatinase-Associated Lipoca... 2003 2026 2010 2018 2003 400 800 1.2k
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.

  1. Identification of Neutrophil Gelatinase-Associated Lipocalin as a Novel Early Urinary Biomarker for Ischemic Renal Injury
    2003 1.4k citations Jaya Mishra, Qing Ma et al. Journal of the American Society of Nephrology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne E. Prada United States 12 1.2k 336 302 298 284 18 2.0k
Filippo Mariano Italy 24 723 0.6× 267 0.8× 108 0.4× 172 0.6× 220 0.8× 66 1.6k
Felix Stockenhuber Austria 22 327 0.3× 101 0.3× 301 1.0× 144 0.5× 274 1.0× 51 1.5k
Susanna Campo Italy 13 976 0.8× 218 0.6× 95 0.3× 211 0.7× 61 0.2× 32 1.5k
Ranjit S. Chima United States 20 373 0.3× 102 0.3× 284 0.9× 135 0.5× 544 1.9× 66 1.5k
D. Inthorn Germany 20 331 0.3× 357 1.1× 250 0.8× 119 0.4× 247 0.9× 48 1.6k
Gerd R. Hetzel Germany 15 550 0.5× 85 0.3× 142 0.5× 143 0.5× 134 0.5× 47 1.2k
L. R. I. Baker United Kingdom 21 787 0.7× 81 0.2× 233 0.8× 180 0.6× 114 0.4× 65 1.8k
Christina L. Klein United States 17 611 0.5× 109 0.3× 62 0.2× 200 0.7× 187 0.7× 31 1.6k
John T. Crosson United States 22 362 0.3× 86 0.3× 126 0.4× 222 0.7× 127 0.4× 40 1.3k
Marc Léon Belgium 6 234 0.2× 95 0.3× 253 0.8× 124 0.4× 540 1.9× 19 1.8k

Countries citing papers authored by Anne E. Prada

Since Specialization
Citations

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

Fields of papers citing papers by Anne E. Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne E. Prada. 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 Anne E. Prada. The network helps show where Anne E. Prada may publish in the future.

Co-authorship network of co-authors of Anne E. Prada

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

All Works

18 of 18 papers shown
1.
Boyanton, Bobby L., et al.. (2015). Evaluation of the Lyra Direct Strep Assay To Detect Group A Streptococcus and Group C and G Beta-Hemolytic Streptococcus from Pharyngeal Specimens. Journal of Clinical Microbiology. 54(1). 175–177. 8 indexed citations
2.
Chen, Neng & Anne E. Prada. (2014). Development of allele-specific multiplex PCR to determine the length of poly-T in intron 8 ofCFTR. PeerJ. 2. e468–e468. 6 indexed citations
3.
Prada, Anne E., et al.. (2013). FLT3 Mutations in Myeloproliferative Neoplasms. Diagnostic Molecular Pathology. 22(3). 156–160. 6 indexed citations
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Braun, Michael, Caitlin Kelly, Anne E. Prada, et al.. (2004). Human PRMT5 Expression Is Enhanced during in vitro Tubule Formation and after in vivo Ischemic Injury in Renal Epithelial Cells. American Journal of Nephrology. 24(2). 250–257. 13 indexed citations
8.
Mishra, Jaya, Qing Ma, Anne E. Prada, et al.. (2003). Identification of Neutrophil Gelatinase-Associated Lipocalin as a Novel Early Urinary Biomarker for Ischemic Renal Injury. Journal of the American Society of Nephrology. 14(10). 2534–2543. 1379 indexed citations breakdown →
9.
Zahedi, Kamyar, Zhaohui Wang, Sharon Barone, et al.. (2003). Expression of SSAT, a novel biomarker of tubular cell damage, increases in kidney ischemia-reperfusion injury. American Journal of Physiology-Renal Physiology. 284(5). F1046–F1055. 68 indexed citations
10.
Liu, Dongxu, Jennifer Scafidi, Anne E. Prada, Kamyar Zahedi, & Alvin E. Davis. (2002). Nuclear phosphatases and the proteasome in suppression of STAT1 activity in hepatocytes. Biochemical and Biophysical Research Communications. 299(4). 574–580. 17 indexed citations
11.
Zahedi, Kamyar, et al.. (2002). Normal Transcription of the C1 Inhibitor Gene is Dependent Upon a Polypurine⋅Polypyrimidine Region Within the Promoter. Inflammation. 26(4). 183–191. 2 indexed citations
12.
Zahedi, Kamyar, et al.. (1999). The Promoter of the C1 Inhibitor Gene Contains a Polypurine·Polypyrimidine Segment that Enhances Transcriptional Activity. The Journal of Immunology. 162(12). 7249–7255. 10 indexed citations
13.
Prada, Anne E., Kamyar Zahedi, & Alvin E. Davis. (1998). Regulation of C1 Inhibitor Synthesis. Immunobiology. 199(2). 377–388. 65 indexed citations
14.
Zahedi, Kamyar, et al.. (1997). Characterization of the IFN-gamma-responsive element in the 5’ flanking region of the C1 inhibitor gene. The Journal of Immunology. 159(12). 6091–6096. 13 indexed citations
15.
Zahedi, Kamyar, Clarissa Uhlar, M Rits, Anne E. Prada, & Alexander S. Whitehead. (1994). The mouse interleukin 1 receptor antagonist protein: gene structure and regulation in vitro. Cytokine. 6(1). 1–9. 17 indexed citations
16.
Zahedi, Kamyar, Anne E. Prada, & Alvin E. Davis. (1994). Transcriptional regulation of the C1 inhibitor gene by gamma-interferon. Journal of Biological Chemistry. 269(13). 9669–9674. 25 indexed citations
17.
Zahedi, Kamyar, et al.. (1993). Structure and regulation of the C1 inhibitor gene.. PubMed. 115–9. 13 indexed citations
18.
Prada, Anne E. & C. Frederic Strife. (1992). IgG subclass restriction of autoantibody to solid-phase C1q in membranoproliferative and lupus glomerulonephritis. Clinical Immunology and Immunopathology. 63(1). 84–88. 41 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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