Anna Schuh

22.8k citations
152 papers · 3.1k · h-index 30

Impact in

  • Genetics top 0.2%
    • Chronic Lymphocytic Leukemia Research
    • Hemoglobinopathies and Related Disorders
  • Hematology top 1%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

Anna Schuh

143 papers receiving 3.1k citations

Peers

Anna Schuh
Comparison fields: 5 of 122
  • Genetics 1.8k
  • Hematology 706
  • Pathology and Forensic Medicine 1.1k
  • Immunology 573
  • Cancer Research 314
Replace John C. Byrd with:
John C. Byrd United States
Piers Blombery Australia
Preetesh Jain United States
Laurence Elias United States
Leslie A. Andritsos United States
Soham D. Puvvada United States
Giovanna Cutrona Italy
Andrew R. Pettitt United Kingdom
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Citations per field
00.5×3.9×
John C. Byrd · 1×
Citations per year

Countries citing papers authored by Anna Schuh

Since Specialization
Citations

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

Fields of papers citing papers by Anna Schuh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012214
2 2019186
3 2019146
4 2019146
5 2012115
6 2005115
7 201995
8 201894
9 201382
10 201472
11 201163
12 201261
13 202060
14 201460
15 201357
16 201756
17 201555
18 201851
19 201150
20 200946

About Anna Schuh

Anna Schuh is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Molecular Biology and Immunology, having authored 152 papers that have together received 3.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (68 papers), Lymphoma Diagnosis and Treatment (43 papers), Cancer Genomics and Diagnostics (22 papers), Immunodeficiency and Autoimmune Disorders (20 papers), Hemoglobinopathies and Related Disorders (19 papers), Iron Metabolism and Disorders (12 papers), Acute Lymphoblastic Leukemia research (10 papers) and Advanced Breast Cancer Therapies (10 papers). The work is most often cited by research in Genetics (1.8k citations), Hematology (706 citations), Pathology and Forensic Medicine (1.1k citations), Immunology (573 citations) and Cancer Research (314 citations). Anna Schuh has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter Hillmen, Sarah Wordsworth, James Buchanan, Shirley Henderson, Hélène Dreau, Jenny C. Taylor, Toby A. Eyre, Ruth Clifford, Adele Timbs and Andrew R. Pettitt. Their work appears in journals such as Blood, British Journal of Haematology, Haematologica, Journal of Clinical Oncology and Blood Advances.

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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