F Khandan

2.4k citations
10 papers · 449 · h-index 7

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • PARP inhibition in cancer therapy
    • Cancer Treatment and Pharmacology

Papers in

    • Cancer Treatment and Pharmacology 5
    • HER2/EGFR in Cancer Research 2
    • PARP inhibition in cancer therapy 1
    • Cancer-related Molecular Pathways 1
    • Breast Cancer Treatment Studies 6
    • Cancer Genomics and Diagnostics 1

F Khandan

10 papers receiving 439 citations

Peers

F Khandan
Comparison fields: 5 of 51
  • Cancer Research 258
  • Oncology 233
  • Pathology and Forensic Medicine 42
  • Nephrology 12
  • Pulmonary and Respiratory Medicine 51
Replace Albin Rudisch with:
Albin Rudisch Austria
M. D’Arcangelo Italy
Qiongyan Zou China
Carina Forsare Sweden
Shanqi Xu China
Danmei Pang China
Gai‐Xia Lu China
Michał Marek Hoppe Singapore
Yuji Shimoda Japan
Debbie Frye United States
F Khandan relative to Albin Rudisch Austria Albin Rudisch's profile →
Citations per field
00.5×3.6×
Albin Rudisch · 1×
Citations per year

Countries citing papers authored by F Khandan

Since Specialization
Citations

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

Fields of papers citing papers by F Khandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010220
2 201175
3 201244
4 201638
5 201337
6 201216
7 201711
8 20116
9 20101
10 20151

About F Khandan

F Khandan is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 10 papers that have together received 449 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (5 papers), Advanced Breast Cancer Therapies (4 papers), HER2/EGFR in Cancer Research (2 papers), PARP inhibition in cancer therapy (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer Genomics and Diagnostics (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Cancer Research (258 citations), Oncology (233 citations), Pathology and Forensic Medicine (42 citations), Nephrology (12 citations) and Pulmonary and Respiratory Medicine (51 citations). F Khandan has collaborated with scholars based in Germany, Estonia and Switzerland. Frequent co-authors include Sibylle Loibl, Gϋnter von Minckwitz, Keyur Mehta, Carsten Denkert, Silvia Darb‐Esfahani, Hans Tesch, Jens Huober, Erich Weiß, Christoph Thomssen and Dirk M. Zahm. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, Breast Cancer Research and Treatment and British Journal of Cancer.

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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