Gregor Eisenwort

1.7k total citations
54 papers, 1.0k citations indexed

About

Gregor Eisenwort is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Gregor Eisenwort has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 23 papers in Immunology and 17 papers in Genetics. Recurrent topics in Gregor Eisenwort's work include Chronic Myeloid Leukemia Treatments (22 papers), Mast cells and histamine (17 papers) and Acute Myeloid Leukemia Research (14 papers). Gregor Eisenwort is often cited by papers focused on Chronic Myeloid Leukemia Treatments (22 papers), Mast cells and histamine (17 papers) and Acute Myeloid Leukemia Research (14 papers). Gregor Eisenwort collaborates with scholars based in Austria, Germany and United States. Gregor Eisenwort's co-authors include Peter Valent, Wolfgang R. Sperr, Gregor Hoermann, Irina Sadovnik, Harald Herrmann, Katharina Blatt, Gabriele Stefanzl, Emir Hadzijusufovic, Sabine Cerny‐Reiterer and Daniela Berger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.

In The Last Decade

Gregor Eisenwort

53 papers receiving 1.0k citations

Peers

Gregor Eisenwort
Comparison fields: 5 of 82
  • Hematology 427
  • Immunology 346
  • Molecular Biology 303
  • Genetics 266
  • Oncology 246
Replace Susanne Herndlhofer with:
Susanne Herndlhofer Austria
N. L. Fox United States
James Nichols United States
Ana M. Ortiz Spain
Milica C̆olović Serbia
Kourosh Lotfi Sweden
Peter D. Emanuel United States
Małgorzata Kowal Poland
Matthew E. Mealiffe United States
Susanne Herndlhofer Austria View profile →
Citations per field, relative to Gregor Eisenwort
Gregor Eisenwort · 1×
Citations per year, relative to Gregor Eisenwort
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Countries citing papers authored by Gregor Eisenwort

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Eisenwort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Eisenwort

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Eisenwort. A scholar is included among the top collaborators of Gregor Eisenwort 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 Gregor Eisenwort. Gregor Eisenwort 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 20
2
Asciminib and ponatinib exert synergistic anti-neoplastic effects on CML cells expressing BCR-ABL1 T315I-compound mutations
28
3 3
4 13
5 19
6 15
7 14
8 7
9 17
10 3
11 35
12 105
13 21
14 19
15 12
16 9
17 33
18
Abschiedsbriefe und ihre Bedeutung innerhalb der Suizidologie. Zur Repräsentativität der Abschiedsbriefhinterlasser
5
19 16
20 3

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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