Federico Sackmann

876 citations
8 papers · 51 · h-index 4

Impact in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation

Papers in

Federico Sackmann

7 papers receiving 51 citations

Peers

Federico Sackmann
Comparison fields: 5 of 18
  • Genetics 31
  • Hematology 22
  • Rheumatology 20
  • Oncology 13
  • Molecular Biology 29
Replace Vera Yablokova with:
Vera Yablokova Hungary
Oana Stanca Romania
Fausto Palmieri Italy
Viktor Rossiev Russia
Xénia Cabagnols France
Manuela Marega Germany
Allison Pike United States
Yervand Hakobyan Armenia
Gauti Kjartan Gíslason Iceland
Lucy Pemberton United Kingdom
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Citations per field
00.5×3.3×
Vera Yablokova · 1×
Citations per year

Countries citing papers authored by Federico Sackmann

Since Specialization
Citations

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

Fields of papers citing papers by Federico Sackmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200930
2 201010
3 20234
4 20114
5 20111
6 20151
7 20101
8
Gammapatía monoclonal de significado incierto: factores de pronóstico, evolución y riesgo
20130

About Federico Sackmann

Federico Sackmann is a scholar working on Genetics, Pathology and Forensic Medicine, Rheumatology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 8 papers that have together received 51 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Kruppel-like factors research (1 paper), Medical Imaging Techniques and Applications (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Genetics (31 citations), Hematology (22 citations), Rheumatology (20 citations), Oncology (13 citations) and Molecular Biology (29 citations). Federico Sackmann has collaborated with scholars based in Argentina and South Korea. Frequent co-authors include Beatriz Moiraghi, Ana Lisa Basquiera, Juan Garcia, José M. Barral, Kihyun Kım, Chul Won Jung, Fernando C. Santini, Marcelo Iastrebner, Dong Hwan Kim and Jun Ho Jang. Their work appears in journals such as Blood, Journal of Clinical Oncology, Frontiers in Immunology, Leukemia & lymphoma and Hematology.

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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