Federico Sackmann

910 citations
9 papers · 55 · 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

8 papers receiving 55 citations

Peers

Federico Sackmann
Comparison fields: 5 of 19
  • Genetics 31
  • Hematology 18
  • Rheumatology 13
  • Oncology 11
  • Molecular Biology 19
Replace Vera Yablokova with:
Vera Yablokova Hungary
Sofie De Groote United States
Shoron Mowla United States
Lylia Sivcheva Hungary
Viktor Rossiev Russia
Yervand Hakobyan Armenia
Oana Stanca Romania
Shuxia Zhao United States
Fausto Palmieri Italy
Manuela Marega Germany
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Citations per field
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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

9 of 9 papers shown
#Work
1 200930
2 201011
3 20236
4 20114
5 20151
6
Gammapatía monoclonal de significado incierto: factores de pronóstico, evolución y riesgo
20131
7 20101
8 20111
9 20250

About Federico Sackmann

Federico Sackmann is a scholar working on Genetics, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Hematology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 55 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Lung Cancer Treatments and Mutations (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Genetics (31 citations), Hematology (18 citations), Rheumatology (13 citations), Oncology (11 citations) and Molecular Biology (19 citations). Federico Sackmann has collaborated with scholars based in Argentina and South Korea. Frequent co-authors include Ana Lisa Basquiera, Beatriz Moiraghi, José M. Barral, Juan Garcia, Kihyun Kım, Chul Won Jung, Marcelo Iastrebner, Jun Ho Jang, Dong‐Hwan Kim and Fernando C. Santini. Their work appears in journals such as Blood, Scientific Reports, Journal of Clinical Oncology, Frontiers in Immunology 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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