Bachar Samra

853 citations
18 papers · 364 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Autoimmune and Inflammatory Disorders Research
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Chronic Myeloid Leukemia Treatments 3
    • Acute Myeloid Leukemia Research 2

Bachar Samra

18 papers receiving 360 citations

Peers

Bachar Samra
Comparison fields: 5 of 59
  • Hematology 150
  • Oncology 136
  • Public Health, Environmental and Occupational Health 113
  • Genetics 38
  • Speech and Hearing 17
Replace Eun Sang Yi with:
Eun Sang Yi South Korea
Ci Pan China
George Yaghmour United States
S Banavali India
Wenyuan Mai China
Petter Svenberg Sweden
Olga Militano United States
Minako Iida Japan
Bruce Greig United States
S. Wittebol Netherlands
Bachar Samra relative to Eun Sang Yi South Korea Eun Sang Yi's profile →
Citations per field
00.5×2.8×
Eun Sang Yi · 1×
Citations per year

Countries citing papers authored by Bachar Samra

Since Specialization
Citations

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

Fields of papers citing papers by Bachar Samra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2020109
2 202047
3 202142
4 201633
5 201529
6 201826
7 202017
8 202012
9 202112
10 20178
11 20208
12 20195
13 20195
14 20193
15 20193
16 20203
17 20201
18 20181

About Bachar Samra

Bachar Samra is a scholar working on Oncology, Hematology, Public Health, Environmental and Occupational Health, Genetics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 364 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), Vector-Borne Animal Diseases (2 papers), Immune Cell Function and Interaction (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (150 citations), Oncology (136 citations), Public Health, Environmental and Occupational Health (113 citations), Genetics (38 citations) and Speech and Hearing (17 citations). Bachar Samra has collaborated with scholars based in United States, Lebanon and France. Frequent co-authors include Hagop M. Kantarjian, Nicholas J. Short, Elias Jabbour, Farhad Ravandi, Marina Konopleva, Naval Daver, Courtney D. DiNardo, Alessandro Isidori, Eric Tam and Babak Baseri. Their work appears in journals such as Frontiers in Oncology, Blood, Expert Review of Anticancer Therapy, Acta Haematologica and JCO Global 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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