Herbert Pichler

1.2k citations
35 papers · 352 · h-index 13

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Virus-based gene therapy research

Papers in

Herbert Pichler

30 papers receiving 343 citations

Peers

Herbert Pichler
Comparison fields: 5 of 76
  • Hematology 126
  • Genetics 47
  • Public Health, Environmental and Occupational Health 104
  • Transplantation 9
  • Animal Science and Zoology 28
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Marie Balsat France
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Alok Srivastava India
Ryan Philip Jajosky United States
Lohith Gowda United States
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Sofie Haglund Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Herbert Pichler

Since Specialization
Citations

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

Fields of papers citing papers by Herbert Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199740
2 201831
3 201824
4 201622
5 201219
6 201318
7 201617
8 201716
9 201914
10 201013
11 201212
12 201912
13 201612
14 198710
15 201310
16 20209
17 20179
18 20169
19 20218
20 20198

About Herbert Pichler

Herbert Pichler is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Oncology and Genetics, having authored 35 papers that have together received 352 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Childhood Cancer Survivors' Quality of Life (7 papers), Acute Myeloid Leukemia Research (4 papers), Virus-based gene therapy research (4 papers), Pharmaceutical studies and practices (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (126 citations), Genetics (47 citations), Public Health, Environmental and Occupational Health (104 citations), Transplantation (9 citations) and Animal Science and Zoology (28 citations). Herbert Pichler has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Ánita Lawitschka, Thomas Lion, Volker Witt, G. Fritsch, René Geyeregger, Karin Kosulin, Michael Dworzak, Oskar A. Haas, Ulrike Pötschger and Andishe Attarbaschi. Their work appears in journals such as British Journal of Haematology, Biology of Blood and Marrow Transplantation, Pediatric Blood & Cancer, Blood and Frontiers in Microbiology.

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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