Beate Schultheis

6.2k citations
85 papers · 4.3k indexed · 1 hit paper · h-index 34
Topics
Chronic Myeloid Leukemia Treatments (26 papers)Chronic Lymphocytic Leukemia Research (19 papers)Eosinophilic Disorders and Syndromes (14 papers)

In The Last Decade

Beate Schultheis

84 papers receiving 4.2k citations

Hit Papers

Selection and characterization of BCR-ABL positive cell l...20002026200820172000200400600

Peers

Beate Schultheis
Comparison fields: 5 of 112
  • Hematology 1.8k
  • Molecular Biology 1.5k
  • Genetics 1.3k
  • Oncology 1.1k
  • Rheumatology 959
Replace John Nicoll with:
John Nicoll United States
Philipp le Coutre Germany
Niels Pallisgaard Denmark
Dina Ben‐Yehuda Israel
Giovanni Cazzaniga Italy
Andreas Petzer Austria
Clayton A. Smith United States
David R. Stover United States
Gary Spitzer United States
Prithviraj Bose United States
Beate Schultheis relative to John Nicoll United States John Nicoll's profile →
Citations per field
00.5×3.6×
John Nicoll · 1×
Citations per year

Countries citing papers authored by Beate Schultheis

Since Specialization
Citations

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

Fields of papers citing papers by Beate Schultheis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beate Schultheis

This figure shows the co-authorship network connecting the top 25 collaborators of Beate Schultheis. A scholar is included among the top collaborators of Beate Schultheis 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 Beate Schultheis. Beate Schultheis 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 97
2 20
3 22
4 3
5 80
6 12
7 10
8 112
9 2
10 12
11 1
12 7
13 68
14 9
15 3
16 78
17 70
18 50
19 3
20 24

About Beate Schultheis

Beate Schultheis is a scholar working on Hematology, Genetics and Oncology, having authored 85 papers that have together received 4.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (26 papers), Chronic Lymphocytic Leukemia Research (19 papers) and Eosinophilic Disorders and Syndromes (14 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (1.3k citations) and Rheumatology (959 citations). Beate Schultheis has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Junia V. Melo, John M. Goldman, Dirk Strumberg, Michael W. Deininger, J. Chabrol, Josy Reiffers, François Xavier Mahon, Andreas Hochhaus, Nicholas C.P. Cross and Karin Battmer. Their work appears in journals such as New England Journal of Medicine, 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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