Peter Schuld

566 citations
15 papers · 201 · h-index 7

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 14
    • Chronic Lymphocytic Leukemia Research 11

Peter Schuld

11 papers receiving 199 citations

Peers

Peter Schuld
Comparison fields: 5 of 44
  • Hematology 138
  • Genetics 111
  • Rheumatology 54
  • Gastroenterology 14
  • Pharmaceutical Science 14
Replace Eun‐Jung Jang with:
Eun‐Jung Jang South Korea
Regina Cseuz United States
Valentina Giai Italy
A. Megan Cornelison United States
Gioia Colafigli Italy
Giancarla Gerli Italy
Satoshi Mano Japan
Prasanna Kumar Nidamarthy India
Cristina Bucelli Italy
Simone Claudiani United Kingdom
Peter Schuld relative to Eun‐Jung Jang South Korea Eun‐Jung Jang's profile →
Citations per field
00.5×10×14×
Eun‐Jung Jang · 1×
Citations per year

Countries citing papers authored by Peter Schuld

Since Specialization
Citations

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

Fields of papers citing papers by Peter Schuld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201255
2 200743
3 201441
4 200333
5 20198
6 20208
7 20118
8 20112
9 20251
10 20231
11 20231
12 20100
13 20230
14 20050
15 20230

About Peter Schuld

Peter Schuld is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Rheumatology and Organic Chemistry, having authored 15 papers that have together received 201 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (11 papers), Acute Lymphoblastic Leukemia research (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Lymphoma Diagnosis and Treatment (1 paper), Pharmaceutical studies and practices (1 paper), HER2/EGFR in Cancer Research (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Hematology (138 citations), Genetics (111 citations), Rheumatology (54 citations), Gastroenterology (14 citations) and Pharmaceutical Science (14 citations). Peter Schuld has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include François‐Xavier Mahon, Stéphane Bouchet, Mathiéu Molimard, R. Lassalle, Nicholas Moore, Karine Titier, Coralie Bélanger, Nicolas Widmer, Chantal Csajka and Thierry Buclin. Their work appears in journals such as Blood, HemaSphere, Cancer, Journal of Cancer Research and Clinical Oncology and Leukemia Research.

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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