Saskia Gueller

597 citations
19 papers · 468 · h-index 14

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Advances in Cucurbitaceae Research

Papers in

    • Chronic Myeloid Leukemia Treatments 7
    • Acute Myeloid Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Chronic Lymphocytic Leukemia Research 2

Saskia Gueller

19 papers receiving 460 citations

Peers

Saskia Gueller
Comparison fields: 5 of 65
  • Hematology 148
  • Genetics 134
  • Toxicology 35
  • Oncology 80
  • Molecular Biology 199
Replace Giuseppe Monaco with:
Giuseppe Monaco Italy
Toshiya Yokozawa Japan
Karsten Stahnke Germany
Ligen Liu China
Pankaj Dwivedi United States
A‐M Faussat France
Walid Rasheed Saudi Arabia
Kristin Paulsen Rye Norway
J. L. Chertkov Russia
Etsuko Shima Japan
Saskia Gueller relative to Giuseppe Monaco Italy Giuseppe Monaco's profile →
Citations per field
00.5×5.1×
Giuseppe Monaco · 1×
Citations per year

Countries citing papers authored by Saskia Gueller

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Gueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200869
2 200960
3 200746
4 200938
5 201336
6 201233
7 201128
8 200925
9 201025
10 200524
11 201123
12 200820
13 201516
14 200914
15 20106
16 20042
17 20121
18 20071
19 20081

About Saskia Gueller

Saskia Gueller is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Rheumatology, having authored 19 papers that have together received 468 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Immune Response and Inflammation (3 papers), Mast cells and histamine (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (148 citations), Genetics (134 citations), Toxicology (35 citations), Oncology (80 citations) and Molecular Biology (199 citations). Saskia Gueller has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include H. Phillip Koeffler, Sigal Gery, Hongtao Xing, Hubert Serve, Liqin Liu, Norihiko Kawamata, Ayalew Tefferi, Qi Cao, Verena Nowak and Talin Haritunians. Their work appears in journals such as Blood, Experimental Hematology, Journal of Leukocyte Biology, European Journal of Emergency Medicine 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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