K Kiel

436 citations
11 papers · 318 · h-index 8

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 8
    • Hematopoietic Stem Cell Transplantation 3
    • Glycosylation and Glycoproteins Research 1

K Kiel

11 papers receiving 312 citations

Peers

K Kiel
Comparison fields: 5 of 39
  • Hematology 151
  • Cellular and Molecular Neuroscience 118
  • Genetics 31
  • Immunology 35
  • Oncology 40
Replace Clemens Stockklausner with:
Clemens Stockklausner Germany
Giulia Pianigiani Italy
Alessandra Splendore Brazil
Bonnie Razzaghi United Kingdom
Mannie Fan Canada
Tatiana Usenko Russia
Tamara Bittolo Italy
Helen de Boer Netherlands
Sachie Kimura Japan
Jenny Chia-Chen Chang United States
K Kiel relative to Clemens Stockklausner Germany Clemens Stockklausner's profile →
Citations per field
00.5×4.7×
Clemens Stockklausner · 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 2017134
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 199923
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.
19979
9 20077
10 19975
11 19981

About K Kiel

K Kiel is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 318 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immunotherapy and Immune Responses (2 papers), Chemokine receptors and signaling (2 papers), Cancer Treatment and Pharmacology (2 papers), Neuroscience and Neural Engineering (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Hematology (151 citations), Cellular and Molecular Neuroscience (118 citations), Genetics (31 citations), Immunology (35 citations) and Oncology (40 citations). K Kiel has collaborated with scholars based in Germany, Philippines and United States. Frequent co-authors include Hartmut Goldschmidt, M Moos, Ute Hegenbart, Friedrich W. Cremer, Dorothea Besch, Eberhart Zrenner, Johann Roider, Udo Greppmaier, James D. Ramsden and Katarína Štingl. Their work appears in journals such as Bone Marrow Transplantation, American Journal of Hematology, Annals of Oncology, British Journal of Haematology 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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