Devora Schiff

429 citations
18 papers · 337 · h-index 11

Impact in

Papers in

    • DNA Repair Mechanisms 2
    • Cancer-related Molecular Pathways 3
    • CAR-T cell therapy research 2
    • PARP inhibition in cancer therapy 2
    • Lung Cancer Research Studies 1

Devora Schiff

18 papers receiving 334 citations

Peers

Devora Schiff
Comparison fields: 5 of 58
  • Cancer Research 64
  • Pharmaceutical Science 24
  • Oncology 90
  • Geriatrics and Gerontology 9
  • Molecular Biology 193
Replace Jaime Cárcel‐Trullols with:
Jaime Cárcel‐Trullols United States
Anna Melone Switzerland
Leeann Webster United States
Jining Bai United States
Shouhui Yang United States
Kokichi Suzuki Japan
Timothy P. Burkholder United States
Disha Patel United States
Francis Johnson United States
Widian F. Abi Saab United States
Devora Schiff relative to Jaime Cárcel‐Trullols United States Jaime Cárcel‐Trullols's profile →
Citations per field
00.5×
Jaime Cárcel‐Trullols · 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 201462
2 201848
3 201135
4 201431
5 201230
6 201324
7 201923
8 201321
9 201021
10 200913
11 201011
12 201310
13 20173
14 19981
15 20171
16 20091
17 20091
18 20181

About Devora Schiff

Devora Schiff is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Infectious Diseases, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (2 papers), Breast Cancer Treatment Studies (2 papers), CAR-T cell therapy research (2 papers), Virus-based gene therapy research (2 papers), PARP inhibition in cancer therapy (2 papers), Lung Cancer Research Studies (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (64 citations), Pharmaceutical Science (24 citations), Oncology (90 citations), Geriatrics and Gerontology (9 citations) and Molecular Biology (193 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, Sachin R. Jhawar, Meena S. Moran, Hao Wu, Salma K. Jabbour, Suzie Chen and Vassiliki Karantza. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oncotarget, Clinical Cancer Research, The Journal of Immunology and Pigment Cell & Melanoma Research.

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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