S Kiesel

13 papers receiving 417 citations

Peers

S Kiesel
Comparison fields: 5 of 45
  • Hematology 108
  • Pathology and Forensic Medicine 158
  • Immunology 188
  • Genetics 76
  • Oncology 114
Replace Volker Diehl with:
Volker Diehl Germany
J. Graham Sharp United States
DJ Dunlop United Kingdom
S V Payne United Kingdom
IL Wolvers-Tettero Netherlands
JJ van Dongen Netherlands
Yoshikazu Sudo Japan
Cedith M. Copenhaver United States
H Mellstedt Sweden
Nancy Pennell Canada
S Kiesel relative to Volker Diehl Germany Volker Diehl's profile →
Citations per field
00.5×1.6×
Volker Diehl · 1×
Citations per year

Countries citing papers authored by S Kiesel

Since Specialization
Citations

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

Fields of papers citing papers by S Kiesel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1986145
2 1987113
3
Immunomagnetic removal of B-lymphoma cells from human bone marrow: a procedure for clinical use.
198858
4 198834
5 198727
6
Autologous peripheral blood stem cell transplantation: analysis of autografted cells and lymphocyte recovery.
198927
7
Enhanced myelopoiesis in long-term cultures of human bone marrow pretreated with recombinant granulocyte-macrophage colony-stimulating factor.
198910
8 19895
9
The effect of human recombinant GM-CSF on the myelopoiesis in a long-term bone marrow culture (LTBMC).
19884
10
Functional evaluation of CD19- and CD22-negative variants of B-lymphoid cell lines.
19884
11 19864
12 19882
13 19892

About S Kiesel

S Kiesel is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Hematology, Molecular Biology and Genetics, having authored 13 papers that have together received 435 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Glycosylation and Glycoproteins Research (3 papers), Mesenchymal stem cell research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Hematology (108 citations), Pathology and Forensic Medicine (158 citations), Immunology (188 citations), Genetics (76 citations) and Oncology (114 citations). S Kiesel has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Antonio Pezzutto, G Moldenhauer, B Dörken, L M Nadler, Gerhard Moldenhauer, Robert J. Schwartz, A.C. Feller, Peter Möller, Frank Momburg and W. Hunstein. Their work appears in journals such as Blood, Immunology Letters, Leukemia Research, The Journal of Immunology and Journal of Immunological Methods.

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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