Devora Schiff

414 citations
18 papers · 326 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy

Papers in

    • Cancer-related Molecular Pathways 5
    • PARP inhibition in cancer therapy 4
    • CAR-T cell therapy research 2
    • DNA Repair Mechanisms 3
    • Cancer therapeutics and mechanisms 2

Devora Schiff

18 papers receiving 324 citations

Peers

Devora Schiff
Comparison fields: 5 of 62
  • Cancer Research 72
  • Oncology 109
  • Pharmaceutical Science 24
  • Molecular Biology 209
  • Geriatrics and Gerontology 9
Replace Venkat R. Pallela with:
Venkat R. Pallela United States
Kokichi Suzuki Japan
Alexander Vanderbilt United States
Francis Johnson United States
Eri Sugiyama Japan
Jaime Cárcel‐Trullols United States
Jining Bai United States
Anna Melone Switzerland
Marco Mele Denmark
Denise Rageot Switzerland
Devora Schiff relative to Venkat R. Pallela United States Venkat R. Pallela's profile →
Citations per field
00.5×4.5×
Venkat R. Pallela · 1×
Citations per year

Countries citing papers authored by Devora Schiff

Since Specialization
Citations

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

Fields of papers citing papers by Devora Schiff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devora Schiff, 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 Devora Schiff Line = papers co-authored together Devora Schiff links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201460
2 201844
3 201134
4 201230
5 201430
6 201922
7 201322
8 201021
9 201321
10 200913
11 201011
12 201310
13 20173
14 19981
15 20091
16 20171
17 20091
18 20181

About Devora Schiff

Devora Schiff is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), PARP inhibition in cancer therapy (4 papers), DNA Repair Mechanisms (3 papers), Breast Cancer Treatment Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer therapeutics and mechanisms (2 papers), Virus-based gene therapy research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (72 citations), Oncology (109 citations), Pharmaceutical Science (24 citations), Molecular Biology (209 citations) and Geriatrics and Gerontology (9 citations). Devora Schiff has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Bruce G. Haffty, Sharad Goyal, Atif J. Khan, Monal Mehta, Meena S. Moran, Sachin R. Jhawar, Hao Wu, Caitlin A. Schonewolf, Salma K. Jabbour and Hao Wu. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oncotarget, Clinical Cancer Research, Journal of Clinical Oncology and Breast Cancer Research and Treatment.

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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