K Kiel

428 citations
11 papers · 317 · h-index 8

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 8
    • Hematopoietic Stem Cell Transplantation 3
    • Bacillus and Francisella bacterial research 1

K Kiel

11 papers receiving 311 citations

Peers

K Kiel
Comparison fields: 5 of 43
  • Hematology 161
  • Cellular and Molecular Neuroscience 120
  • Genetics 32
  • Cognitive Neuroscience 38
  • Immunology 40
Replace Sachie Kimura with:
Sachie Kimura Japan
Mannie Fan Canada
Sandra Siegel United States
Helen de Boer Netherlands
Meera Patel United States
Pei Lin United States
Claudia Giannotta Italy
Manuela Kampfmann Germany
Jannetta S. Steyn United Kingdom
Baohua Jiao China
K Kiel relative to Sachie Kimura Japan Sachie Kimura's profile →
Citations per field
00.5×8.6×
Sachie Kimura · 1×
Citations per year

Countries citing papers authored by K Kiel

Since Specialization
Citations

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

Fields of papers citing papers by K Kiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017131
2 199837
3 199931
4
Leukapheresis products in multiple myeloma: lower tumor load after mobilization with cyclophosphamide plus granulocyte colony-stimulating factor (G-CSF) compared with G-CSF alone.
199828
5 199725
6 199924
7 200018
8
A rationale for positive selection of peripheral blood stem cells in multiple myeloma: highly purified CD34+ cell fractions of leukapheresis products do not contain malignant cells.
199710
9 20077
10 19975
11 19981

About K Kiel

K Kiel is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Infectious Diseases, having authored 11 papers that have together received 317 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer Treatment and Pharmacology (2 papers), Immunotherapy and Immune Responses (2 papers), Chemokine receptors and signaling (2 papers), Neuroblastoma Research and Treatments (1 paper), Neuroscience and Neural Engineering (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Hematology (161 citations), Cellular and Molecular Neuroscience (120 citations), Genetics (32 citations), Cognitive Neuroscience (38 citations) and Immunology (40 citations). K Kiel has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Hartmut Goldschmidt, M Moos, Ute Hegenbart, Friedrich W. Cremer, Charles L. Cottriall, Jan Tode, Eberhart Zrenner, Robert E. MacLaren, Thomas L. Edwards and Johann Roider. Their work appears in journals such as Bone Marrow Transplantation, British Journal of Haematology, Annals of Oncology, American Journal of Hematology and Frontiers in Neuroscience.

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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