Herbert G. Sayer

3.4k total citations
90 papers, 2.1k citations indexed

About

Herbert G. Sayer is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Herbert G. Sayer has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Hematology, 23 papers in Oncology and 15 papers in Molecular Biology. Recurrent topics in Herbert G. Sayer's work include Hematopoietic Stem Cell Transplantation (42 papers), Multiple Myeloma Research and Treatments (19 papers) and Acute Myeloid Leukemia Research (19 papers). Herbert G. Sayer is often cited by papers focused on Hematopoietic Stem Cell Transplantation (42 papers), Multiple Myeloma Research and Treatments (19 papers) and Acute Myeloid Leukemia Research (19 papers). Herbert G. Sayer collaborates with scholars based in Germany, Israel and United States. Herbert G. Sayer's co-authors include K. Höffken, Rainer Schwerdtfeger, Michael Kiehl, Nicolaus Kröger, Sebastian Scholl, Axel R. Zander, Tatjana Zabelina, J. Beyer, Christoph Kasper and Helmut Renges and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Herbert G. Sayer

88 papers receiving 2.1k citations

Peers

Herbert G. Sayer
Comparison fields: 5 of 92
  • Hematology 1.4k
  • Genetics 533
  • Oncology 492
  • Molecular Biology 475
  • Immunology 403
Replace Shin Fujisawa with:
Shin Fujisawa Japan
Michel Tulliez France
Hans Hägglund Sweden
Jing Sun China
Olga Núñez United States
Daniel Lysák Czechia
Betül Oran United States
W. Heit Germany
Sunil Abhyankar United States
Jean‐Michel Boiron France
Shin Fujisawa Japan View profile →
Citations per field, relative to Herbert G. Sayer
Herbert G. Sayer · 1×
Citations per year, relative to Herbert G. Sayer
Herbert G. Sayer · 1×

Countries citing papers authored by Herbert G. Sayer

Since Specialization
Citations

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

Fields of papers citing papers by Herbert G. Sayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Herbert G. Sayer

This figure shows the co-authorship network connecting the top 25 collaborators of Herbert G. Sayer. A scholar is included among the top collaborators of Herbert G. Sayer 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 Herbert G. Sayer. Herbert G. Sayer 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
# Work Indexed citations
1 6
2 4
3 1
4 36
5 4
6 5
7 18
8 9
9 63
10 45
11 14
12 84
13 9
14 15
15 82
16 20
17 19
18 24
19 23
20 12

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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