Samira Syed

578 citations
37 papers · 390 · h-index 11

Impact in

    • Protease and Inhibitor Mechanisms
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis
    • Drug Transport and Resistance Mechanisms

Papers in

Samira Syed

29 papers receiving 384 citations

Peers

Samira Syed
Comparison fields: 5 of 82
  • Cancer Research 94
  • Oncology 151
  • Hematology 44
  • Genetics 34
  • Biotechnology 27
Replace J. P. Eder with:
J. P. Eder United States
Amy Dresen United States
Leeona Galligan United Kingdom
Daniel D. VonHoff United States
Luis T. Campos United States
David L. Doering United States
Fuming Zi China
Piotr Łacina Poland
Carla Flandina Italy
Nobuyoshi Tsuruoka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Samira Syed

Since Specialization
Citations

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

Fields of papers citing papers by Samira Syed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201452
2 200447
3 200746
4 200645
5 200423
6 201922
7 199617
8 199616
9 202015
10 200514
11 200812
12 200310
13
Preliminary pharmacokinetic evaluation of Albuleukin; an interleukin-2 human serum albumin fusion protein, in solid tumor patients
20049
14 20039
15 20118
16
The new generation of targeted therapies for breast cancer.
20037
17 20176
18 20046
19 20195
20
Innovative therapies for prostate cancer treatment.
20035

About Samira Syed

Samira Syed is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Surgery, having authored 37 papers that have together received 390 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Breast Cancer Treatment Studies (6 papers), Erythrocyte Function and Pathophysiology (3 papers), Blood groups and transfusion (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Advanced Breast Cancer Therapies (3 papers), Cancer, Lipids, and Metabolism (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (94 citations), Oncology (151 citations), Hematology (44 citations), Genetics (34 citations) and Biotechnology (27 citations). Samira Syed has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Eric K. Rowinsky, Geoffrey R. Weiss, Garry Schwartz, Anthony W. Tolcher, Lisa A. Hammond, Michael Goedken, Brian Buckley, Lauren M. Aleksunes, John D. Milam and Jochewed Werch. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Urologic Oncology Seminars and Original Investigations, Investigational New Drugs and Annals of Surgical Oncology.

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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