K. Wilms

919 citations
56 papers · 614 · h-index 12

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 9
    • Acute Myeloid Leukemia Research 8
    • Chronic Lymphocytic Leukemia Research 6
    • Blood disorders and treatments 4

K. Wilms

52 papers receiving 567 citations

Peers

K. Wilms
Comparison fields: 5 of 87
  • Infectious Diseases 224
  • Hematology 105
  • Microbiology 46
  • Clinical Biochemistry 49
  • Genetics 62
Replace I M Nilsson with:
I M Nilsson Sweden
Stephen Batsford Germany
R. Saario Finland
Yuka Torii Japan
I. Green United States
Marc E. Uknis United States
Michael R. Liebling United States
R Merilahti-Palo Finland
Christine Spalding United States
Charlotta Sandin Sweden
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Citations per field
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Citations per year

Countries citing papers authored by K. Wilms

Since Specialization
Citations

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

Fields of papers citing papers by K. Wilms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997294
2
Effect of anti-T-cell globulin on GVHD in leukemic patients treated with BMT.
198142
3
Topoisomerase II activities in AML and their correlation with cellular sensitivity to anthracyclines and epipodophyllotoxines.
199627
4 200620
5 199217
6 199916
7 198016
8 197615
9 197614
10 197313
11 198212
12 197711
13 19798
14 19868
15 19688
16 19815
17 19825
18 19695
19 19844
20 19824

About K. Wilms

K. Wilms is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 614 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Neutropenia and Cancer Infections (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Blood disorders and treatments (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Infectious Diseases (224 citations), Hematology (105 citations), Microbiology (46 citations), Clinical Biochemistry (49 citations) and Genetics (62 citations). K. Wilms has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jörg Hacker, Wilma Ziebuhr, Friedrich Götz, E. Sträube, Christine Heilmann, Peter Meyer, W. Wilmanns, E. Heidemann, H. Link and Lothar Jaenicke. Their work appears in journals such as Journal of Molecular Medicine, Annals of Hematology, Scientific Reports, Planta Medica and Infection and Immunity.

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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