Nat Pernick

437 total citations
11 papers, 316 citations indexed

About

Nat Pernick is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Nat Pernick has authored 11 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Nat Pernick's work include Pancreatic and Hepatic Oncology Research (3 papers), Breast Cancer Treatment Studies (3 papers) and Breast Lesions and Carcinomas (3 papers). Nat Pernick is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Breast Cancer Treatment Studies (3 papers) and Breast Lesions and Carcinomas (3 papers). Nat Pernick collaborates with scholars based in United States. Nat Pernick's co-authors include David Rodbard, Volkan Adsay, Daniel W. Visscher, Kathryn A Carolin, John D. Crissman, Tracie Wallis, Lisa A. Newman, David L. Bouwman, Mary A. Kosir and Michael White and has published in prestigious journals such as Diabetes Care, Annals of Surgical Oncology and Modern Pathology.

In The Last Decade

Nat Pernick

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nat Pernick United States 7 129 122 106 101 56 11 316
Merih Güray Durak Türkiye 8 140 1.1× 107 0.9× 63 0.6× 48 0.5× 73 1.3× 40 265
Voïchita Suciu France 9 58 0.4× 60 0.5× 54 0.5× 74 0.7× 28 0.5× 29 261
Gordana Pupić Serbia 10 47 0.4× 79 0.6× 108 1.0× 91 0.9× 20 0.4× 32 325
Jung Han Yoon South Korea 13 104 0.8× 173 1.4× 151 1.4× 204 2.0× 19 0.3× 40 501
Katalin Ormándi Hungary 11 118 0.9× 153 1.3× 32 0.3× 123 1.2× 27 0.5× 26 262
Leo A. Niemeier United States 6 95 0.7× 215 1.8× 97 0.9× 240 2.4× 40 0.7× 8 526
Simone Zanotti Italy 9 101 0.8× 88 0.7× 67 0.6× 93 0.9× 34 0.6× 18 259
Minn Minn Myint Thu Singapore 6 207 1.6× 132 1.1× 100 0.9× 67 0.7× 147 2.6× 8 324
Gloria J Carter United States 8 155 1.2× 167 1.4× 49 0.5× 80 0.8× 66 1.2× 22 300
Daniela Tomei Italy 12 337 2.6× 400 3.3× 258 2.4× 153 1.5× 25 0.4× 21 497

Countries citing papers authored by Nat Pernick

Since Specialization
Citations

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

Fields of papers citing papers by Nat Pernick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nat Pernick

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

All Works

11 of 11 papers shown
1.
Pernick, Nat. (2021). What’s New in Pathology Newsletter by PathologyOutlines.com. Journal of Pathology and Translational Medicine. 55(2). 159–160.
2.
Shekhar, Malathy P.V., Laura Biernat, Nat Pernick, et al.. (2009). Utility of DNA postreplication repair protein Rad6B in neoadjuvant chemotherapy response. Medical Oncology. 27(2). 466–473. 7 indexed citations
3.
Newman, Lisa A., Nat Pernick, Volkan Adsay, et al.. (2003). Histopathologic Evidence of Tumor Regression in the Axillary Lymph Nodes of Patients Treated With Preoperative Chemotherapy Correlates With Breast Cancer Outcome. Annals of Surgical Oncology. 10(7). 734–739. 63 indexed citations
4.
Pernick, Nat, Fazlul H. Sarkar, Philip A. Philip, et al.. (2003). Clinicopathologic Analysis of Pancreatic Adenocarcinoma in African Americans and Caucasians. Pancreas. 26(1). 28–32. 43 indexed citations
5.
Wallis, Tracie, et al.. (2003). Histopathologic Analysis of Atypical Lesions in Image-Guided Core Breast Biopsies. Modern Pathology. 16(2). 154–160. 57 indexed citations
6.
Pernick, Nat, et al.. (2002). Fas and Fas Ligand Expression in Pancreatic Adenocarcinoma. Pancreas. 25(3). e36–e41. 4 indexed citations
7.
Pernick, Nat, et al.. (2002). Histologic and Radiographic Analysis of Ductal Carcinoma In Situ Diagnosed Using Stereotactic Incisional Core Breast Biopsy. Modern Pathology. 15(2). 95–101. 30 indexed citations
8.
Pernick, Nat, Laura Biernat, Wei Du, & Daniel W. Visscher. (2000). Clinicopathologic Analysis of Fas, Fas Ligand, and Other Biomarkers in Locally Advanced Breast Carcinoma. The Breast Journal. 6(4). 233–241. 4 indexed citations
9.
Pernick, Nat, et al.. (1999). "Histiocytic markers" in melanoma.. PubMed. 12(11). 1072–7. 50 indexed citations
10.
Pernick, Nat & David Rodbard. (1986). Personal Computer Programs to Assist with Self-Monitoring of Blood Glucose and Self-Adjustment of Insulin Dosage. Diabetes Care. 9(1). 61–69. 53 indexed citations
11.
Rodbard, David, et al.. (1984). A Data Management Program to Assist with Home Monitoring of Blood Glucose and Self Adjustment of Insulin Dosage for Patients with Diabetes Mellitus and Their Physicians. PubMed Central. 321–324. 5 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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