Damé Idossa

559 citations
22 papers · 256 · 1 hit paper · h-index 7

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

Damé Idossa

19 papers receiving 253 citations

Damé Idossa's Hit Papers

Systemic therapy for hormone receptor‐positive/human epidermal growth factor receptor 2‐negative early stage and metastatic breast cancer 2023 · 96 citations
960+1+2Years since publication255075

Peers

Damé Idossa
Comparison fields: 5 of 62
  • Hematology 73
  • Genetics 59
  • Oncology 107
  • Cancer Research 53
  • Pulmonary and Respiratory Medicine 77
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Damé Idossa relative to Michelle Purdom United States Michelle Purdom's profile →
Citations per field
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Citations per year

Countries citing papers authored by Damé Idossa

Since Specialization
Citations

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

Fields of papers citing papers by Damé Idossa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Damé Idossa, 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 Damé Idossa Line = papers co-authored together Damé Idossa 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
Systemic therapy for hormone receptor‐positive/human epidermal growth factor receptor 2‐negative early stage and metastatic breast cancer
Hit paper breakdown →
202396
2 201756
3 201821
4 201721
5 201918
6 202413
7 20247
8 20254
9 20223
10 20223
11 20173
12 20232
13 20232
14 20232
15 20241
16 20231
17 20231
18 20221
19 20241
20 20250

About Damé Idossa

Damé Idossa is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Gender Studies, Economics and Econometrics and Genetics, having authored 22 papers that have together received 256 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Cancer Treatment and Pharmacology (4 papers), Diversity and Career in Medicine (4 papers), Economic and Financial Impacts of Cancer (3 papers), Advanced Breast Cancer Therapies (3 papers), Global Cancer Incidence and Screening (3 papers), Breast Cancer Treatment Studies (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (73 citations), Genetics (59 citations), Oncology (107 citations), Cancer Research (53 citations) and Pulmonary and Respiratory Medicine (77 citations). Damé Idossa has collaborated with scholars based in United States, India and Türkiye. Frequent co-authors include Laura A. Huppert, Hope S. Rugo, Özge Gümüşay, Douglas A. Simonetto, Rhett P. Ketterling, Ayalew Tefferi, Christy M. Finke, Mrinal M. Patnaik, Animesh Pardanani and Terra L. Lasho. Their work appears in journals such as Journal of Clinical Oncology, JCO Oncology Practice, American Journal of Hematology, Cancer Research and CA A Cancer Journal for Clinicians.

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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