Hannes Wandt

5.1k citations
57 papers · 2.6k indexed · 1 hit paper · h-index 22
Topics
Acute Myeloid Leukemia Research (21 papers)Lymphoma Diagnosis and Treatment (15 papers)Hematopoietic Stem Cell Transplantation (14 papers)
Partner nations
GermanyAustriaSweden

In The Last Decade

Hannes Wandt

56 papers receiving 2.6k citations

Hit Papers

A new prognostic index (MIPI) for patients with advanced-...20072026201320192007200400600

Peers

Hannes Wandt
Comparison fields: 5 of 90
  • Pathology and Forensic Medicine 1.2k
  • Oncology 1.1k
  • Hematology 1.0k
  • Genetics 785
  • Molecular Biology 359
Replace Mathias Hänel with:
Mathias Hänel Germany
Marciano D. Reis Canada
Marinus van Marwijk Kooy Netherlands
Alice Maniatis Greece
Francis S. Morrison United States
A. Z. S. Rohatiner United Kingdom
Irena Sniecinski United States
Eeva Juvonen Finland
Enrico Maria Pogliani Italy
David H. Henry United States
Hannes Wandt relative to Mathias Hänel Germany Mathias Hänel's profile →
Citations per field
00.5×1.6×
Mathias Hänel · 1×
Citations per year

Countries citing papers authored by Hannes Wandt

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Wandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Wandt

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Wandt. A scholar is included among the top collaborators of Hannes Wandt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hannes Wandt. Hannes Wandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 61
2 0
3 210
4 1
5 1
6 118
7 9
8 13
9 24
10 67
11 1
12 29
13 6
14 69
15 31
16 14
17 5
18 44
19
Die Transplantation hämatopoetischer Stammzellen : Teil II: Indikationen zur Transplantation von hämatopoetischen Stammzellen nach myeloablativer Therapie (Übersicht)
3
20 5

About Hannes Wandt

Hannes Wandt is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 57 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Lymphoma Diagnosis and Treatment (15 papers) and Hematopoietic Stem Cell Transplantation (14 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (785 citations) and Pathology and Forensic Medicine (1.2k citations). Hannes Wandt has collaborated with scholars based in Germany, Austria and Sweden. Frequent co-authors include Martin Dreyling, Wolfgang Hiddemann, Michael Unterhalt, Eva Hoster, Bernd Metzner, Gerhard Ehninger, Ulrich Dührsen, Hartmut Eimermacher, Bernhard Wörmann and Joerg Hasford. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Blood.

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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