Mark Bustoros

2.3k citations
22 papers · 311 · h-index 10

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Glioma Diagnosis and Treatment

Papers in

Mark Bustoros

20 papers receiving 306 citations

Peers

Mark Bustoros
Comparison fields: 5 of 51
  • Hematology 118
  • Genetics 69
  • Cancer Research 42
  • Oncology 68
  • Obstetrics and Gynecology 17
Replace Chunji Gao with:
Chunji Gao China
Jeffrey Rubens United States
Sandrine Jeanpierre France
J.‐H. SHIEH United States
Bo Hong United States
Wendy L. See United States
Rebecca Driessen United States
Jenny Klintman Sweden
Berit Størdal Norway
Mark Bustoros relative to Chunji Gao China Chunji Gao's profile →
Citations per field
00.5×1.5×2×2.4×
Chunji Gao · 1×
Citations per year

Countries citing papers authored by Mark Bustoros

Since Specialization
Citations

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

Fields of papers citing papers by Mark Bustoros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Bustoros, 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 Mark Bustoros Line = papers co-authored together Mark Bustoros 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 202074
2 201633
3 201628
4 201725
5 202022
6 201822
7 202121
8 201818
9 201817
10 201610
11 20179
12 20228
13 20207
14 20195
15 20193
16 20212
17 20242
18 20232
19 20182
20 20231

About Mark Bustoros

Mark Bustoros is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 22 papers that have together received 311 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cancer Mechanisms and Therapy (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Pregnancy and preeclampsia studies (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (118 citations), Genetics (69 citations), Cancer Research (42 citations), Oncology (68 citations) and Obstetrics and Gynecology (17 citations). Mark Bustoros has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Irene M. Ghobrial, Alexandre Detappe, Tarek H. Mouhieddine, Salomon Manier, Yu J. Shen, Christoph Schliemann, Oliver Lomas, Carl Jannes Neuse, Dimitris G. Placantonakis and P. Peter Ghoroghchian. Their work appears in journals such as Blood, American Society of Clinical Oncology Educational Book, Journal of Clinical Oncology, Hematology/Oncology Clinics of North America and HemaSphere.

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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