Marcelo Capra

2.7k citations
40 papers · 336 · h-index 11

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • Viral-associated cancers and disorders

Papers in

    • Multiple Myeloma Research and Treatments 22
    • Chronic Myeloid Leukemia Treatments 4
    • Peptidase Inhibition and Analysis 7
    • Viral-associated cancers and disorders 6

Marcelo Capra

36 papers receiving 330 citations

Peers

Marcelo Capra
Comparison fields: 5 of 48
  • Hematology 211
  • Oncology 202
  • Genetics 48
  • Otorhinolaryngology 16
  • Physiology 14
Replace Sung‐Soo Yoon with:
Sung‐Soo Yoon South Korea
Claudia I. Chapuy United States
Daniel Morillo Spain
Moira Lucesole Italy
Yaozhong Zhao China
Asaka Kondo Japan
Andres Virchis United Kingdom
Jason M. Melear United States
Efstathios Koulieris Greece
Marcelo Capra relative to Sung‐Soo Yoon South Korea Sung‐Soo Yoon's profile →
Citations per field
00.5×
Sung‐Soo Yoon · 1×
Citations per year

Countries citing papers authored by Marcelo Capra

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Capra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 201944
3 202325
4 201824
5 202023
6 202119
7 202118
8 201216
9 201816
10 202214
11 202311
12 201710
13 20209
14 20177
15 20167
16 20206
17 20095
18 20204
19 20243
20 20212

About Marcelo Capra

Marcelo Capra is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 40 papers that have together received 336 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (22 papers), Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Peptidase Inhibition and Analysis (7 papers), Viral-associated cancers and disorders (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Hematology (211 citations), Oncology (202 citations), Genetics (48 citations), Otorhinolaryngology (16 citations) and Physiology (14 citations). Marcelo Capra has collaborated with scholars based in Brazil, United States and Greece. Frequent co-authors include Meletios Α. Dimopoulos, Aírton Tetelbom Stein, Fernando Anschau, Sandrine Macé, Philippe Moreau, Marie‐Laure Risse, Craig E. Cole, Vladimir Vorobyev, Eduardo Yañez Ruiz and Thierry Façon. Their work appears in journals such as Blood, Journal of Clinical Oncology, HemaSphere, Transplantation and Cellular Therapy and Blood Advances.

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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