Abeera Mohammad

479 citations
7 papers · 114 · h-index 3

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Chronic Myeloid Leukemia Treatments 2
    • Cancer Treatment and Pharmacology 2
    • Global Cancer Incidence and Screening 1

Abeera Mohammad

5 papers receiving 111 citations

Peers

Abeera Mohammad
Comparison fields: 5 of 37
  • Oncology 86
  • General Health Professions 23
  • Applied Psychology 4
  • Epidemiology 27
  • Hematology 8
Replace Omolara Fatiregun with:
Omolara Fatiregun Nigeria
Stephen Della‐Fiorentina Australia
Foziya Mohammed Hussien Ethiopia
D. Paredes Spain
Carlos R. Torres‐Cintrón Puerto Rico
Júlio Fernando Pinto Oliveira Brazil
Rebecca Mottram United Kingdom
Brenda Ginos United States
Bertrand Camey Switzerland
Gulnaz Iqbal United Kingdom
Abeera Mohammad relative to Omolara Fatiregun Nigeria Omolara Fatiregun's profile →
Citations per field
00.5×
Omolara Fatiregun · 1×
Citations per year

Countries citing papers authored by Abeera Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Abeera Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2016106
2 20204
3 20192
4 20191
5 20201
6 20190
7 20190

About Abeera Mohammad

Abeera Mohammad is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 114 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Cancer Treatment and Pharmacology (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Advanced Breast Cancer Therapies (1 paper), Protein Degradation and Inhibitors (1 paper), Cervical Cancer and HPV Research (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Oncology (86 citations), General Health Professions (23 citations), Applied Psychology (4 citations), Epidemiology (27 citations) and Hematology (8 citations). Abeera Mohammad has collaborated with scholars based in United Kingdom, Greece and Switzerland. Frequent co-authors include Stephen W. Duffy, Roberta Maroni, Jonathan P. Myles, Jo Caers, Evangelos Terpos, Xavier Leleu, Sally Wetten, Florence Suzan, Xavier Thomas and Sorina Bădeliță. Their work appears in journals such as Blood, Journal of Medical Screening, Journal of Clinical Oncology, HemaSphere and Clinical Lymphoma Myeloma & Leukemia.

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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