Leora Witkowski

3.4k citations
28 papers · 849 · h-index 17

Impact in

Papers in

Leora Witkowski

28 papers receiving 835 citations

Peers

Leora Witkowski
Comparison fields: 5 of 54
  • Reproductive Medicine 191
  • Pathology and Forensic Medicine 337
  • Molecular Biology 518
  • Epidemiology 196
  • Cancer Research 79
Replace Gabriel S. Macedo with:
Gabriel S. Macedo Brazil
Jim Biagi Canada
Bárbara Rivera Canada
T Pasha United States
Adam Stenman Sweden
Amanda Hemmerich United States
Andrew T. Turk United States
M. Boggild United Kingdom
S Brücker Germany
Francesca Garbini Italy
Leora Witkowski relative to Gabriel S. Macedo Brazil Gabriel S. Macedo's profile →
Citations per field
00.5×3.9×
Gabriel S. Macedo · 1×
Citations per year

Countries citing papers authored by Leora Witkowski

Since Specialization
Citations

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

Fields of papers citing papers by Leora Witkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leora Witkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leora Witkowski Line = papers co-authored together Leora Witkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 201686
3 202084
4 202063
5 201351
6 202046
7 201645
8 201643
9 201532
10 201730
11 201528
12 202027
13 201525
14 201725
15 201624
16 202024
17 201417
18 201616
19 201716
20 201914

About Leora Witkowski

Leora Witkowski is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Surgery, having authored 28 papers that have together received 849 indexed citations. Recurring topics across this work include Chromatin Remodeling and Cancer (16 papers), Cancer Mechanisms and Therapy (14 papers), Gestational Trophoblastic Disease Studies (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Ovarian cancer diagnosis and treatment (4 papers), Protein Degradation and Inhibitors (2 papers), Mechanisms of cancer metastasis (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Reproductive Medicine (191 citations), Pathology and Forensic Medicine (337 citations), Molecular Biology (518 citations), Epidemiology (196 citations) and Cancer Research (79 citations). Leora Witkowski has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include William D. Foulkes, W. Glenn McCluggage, Martin Hasselblatt, Catherine Goudie, David G. Huntsman, Colin J.R. Stewart, Andrew Berchuck, James C. Nicholson, Matthew J. Murray and Blaise Clarke. Their work appears in journals such as Histopathology, Pediatric Blood & Cancer, Journal of Medical Genetics, The Journal of Pathology and JAMA.

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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