Said Baidas

1.4k citations
22 papers · 442 · h-index 12

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Estrogen and related hormone effects
    • Glioma Diagnosis and Treatment

Papers in

Said Baidas

21 papers receiving 431 citations

Peers

Said Baidas
Comparison fields: 5 of 63
  • Hematology 89
  • Genetics 83
  • Oncology 142
  • Pulmonary and Respiratory Medicine 125
  • Pathology and Forensic Medicine 59
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Citations per field
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Citations per year

Countries citing papers authored by Said Baidas

Since Specialization
Citations

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

Fields of papers citing papers by Said Baidas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200399
2 200095
3 199934
4 199428
5 201326
6 200224
7
Mantle cell lymphoma: clinicopathologic features and treatments.
200324
8 201721
9 200518
10 200313
11 201212
12 200212
13 201311
14 20027
15 20097
16
A case of concomitant T-cell large granular lymphocyte leukemia and plasma cell myeloma.
20114
17 20152
18
Phase I trial of irinotecan and epirubicin in advanced cancer. Preliminary report.
20022
19 20201
20
Matrix metalloproteinase inhibitors in cancer: an update.
20001

About Said Baidas

Said Baidas is a scholar working on Oncology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Hematology, having authored 22 papers that have together received 442 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Brain Metastases and Treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Estrogen and related hormone effects (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (89 citations), Genetics (83 citations), Oncology (142 citations), Pulmonary and Respiratory Medicine (125 citations) and Pathology and Forensic Medicine (59 citations). Said Baidas has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Pankaj Bhargava, Eric P. Winer, Daniel F. Hayes, Anu Gupta, Herbert J. Manz, Kevin M. McGrail, Michael D. Johnson, Michael Hawkins, John A. Glaspy and Francisco J. Esteva. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Molecular Medicine, Expert Review of Anticancer Therapy and Cancer Biology & Therapy.

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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