Jennifer Pretz

2.3k total citations · 1 hit paper
28 papers, 1.6k citations indexed

About

Jennifer Pretz is a scholar working on Molecular Biology, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, Jennifer Pretz has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Obstetrics and Gynecology and 8 papers in Reproductive Medicine. Recurrent topics in Jennifer Pretz's work include Endometrial and Cervical Cancer Treatments (8 papers), Ovarian cancer diagnosis and treatment (8 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jennifer Pretz is often cited by papers focused on Endometrial and Cervical Cancer Treatments (8 papers), Ovarian cancer diagnosis and treatment (8 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jennifer Pretz collaborates with scholars based in United States, Canada and Paraguay. Jennifer Pretz's co-authors include Todd R. Golub, Benjamin L. Ebert, Azra Raza, Naomi Galili, Pablo Tamayo, Cindy Chang, David E. Root, Steven R. Ellis, Eyal C. Attar and Raymond H. Mak and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

Jennifer Pretz

24 papers receiving 1.6k citations

Hit Papers

Identification of RPS14 as a 5q- syndrome gene by RNA int... 2008 2026 2014 2020 2008 200 400 600

Peers

Jennifer Pretz
Comparison fields: 5 of 92
  • Molecular Biology 978
  • Hematology 693
  • Genetics 515
  • Cancer Research 291
  • Oncology 167
Replace Francesco Albano with:
Francesco Albano Italy
Bartlomiej Przychodzen United States
Emmanuel Beillard France
Anita Badbaran Germany
Thomas Burmeister Germany
Helena Kempski United Kingdom
Diana Campioni Italy
J M Cayuela France
Andreas Willer Germany
Aiko Sato‐Otsubo Japan
Francesco Albano Italy View profile →
Citations per field, relative to Jennifer Pretz
Jennifer Pretz · 1×
Citations per year, relative to Jennifer Pretz
Jennifer Pretz · 1×

Countries citing papers authored by Jennifer Pretz

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Pretz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Pretz

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 5
3 7
4 4
5 4
6 0
7 1
8 2
9 26
10 20
11 1
12 287
13 14
14 10
15 111
16 59
17 263
18
Identification of RPS14 as a 5q- syndrome gene by RNA interference screen breakdown →
629
19 0
20 2

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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