S Neben

2.5k citations
41 papers · 1.6k indexed · h-index 23

S Neben

41 papers receiving 1.6k citations

Peers

S Neben
Comparison fields: 5 of 88
  • Hematology 738
  • Immunology 706
  • Genetics 209
  • Immunology and Allergy 92
  • Oncology 336
Replace K Kaushansky with:
K Kaushansky United States
NN Iscove Canada
Philippe Quittet France
Hideya Ohashi Japan
RG Andrews United States
Bernard Klein France
DA Williams United States
M. Safford United States
A G Rolink Switzerland
Robert Wasserman United States
S Neben relative to K Kaushansky United States K Kaushansky's profile →
Citations per field
00.5×1.5×
K Kaushansky · 1×
Citations per year

Countries citing papers authored by S Neben

Since Specialization
Citations

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

Fields of papers citing papers by S Neben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20213
2 201911
3 20158
4 201248
5 201178
6 200210
7 199936
8 199845
9 19987
10 199743
11 199747
12 199759
13 199680
14 199622
15 199636
16
Interleukin-4 (IL-4) in combination with IL-11 or IL-6 reverses the inhibitory effect of IL-3 on early B lymphocyte development.
199616
17
Quantitation of murine hematopoietic stem cells in vitro by limiting dilution analysis of cobblestone area formation on a clonal stromal cell line.
199355
18 199243
19
Short- and long-term repopulation of lethally irradiated mice by bone marrow stem cells enriched on the basis of light scatter and Hoechst 33342 fluorescence.
199143
20
Pluripotent stem cells with normal or reduced self renewal survive lethal irradiation.
198814

About S Neben

S Neben is a scholar working on Hematology, Immunology, Hepatology, Genetics and Oncology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), T-cell and B-cell Immunology (8 papers), Mesenchymal stem cell research (6 papers), CAR-T cell therapy research (6 papers), Cancer Cells and Metastasis (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Hematology (738 citations), Immunology (706 citations), Genetics (209 citations), Immunology and Allergy (92 citations) and Oncology (336 citations). S Neben has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Peter Mauch, Dimitri Breems, R. E. Ploemacher, Karen J. Marcus, Vincent Ling, James L.M. Ferrara, Katherine J. Turner, Colin A. Sieff, Philip L. McCarthy and Richard C. Thompson. Their work appears in journals such as Blood, Journal of Hepatology, European Journal of Immunology, Stem Cells and Journal of Clinical Investigation.

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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