Christopher Slape

1.3k citations
29 papers · 970 · h-index 15

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Genomics and Chromatin Dynamics
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
    • Nuclear Structure and Function
    • Epigenetics and DNA Methylation

Papers in

    • Protein Degradation and Inhibitors 7
    • Genomics and Chromatin Dynamics 4
    • Nuclear Structure and Function 3
    • Ubiquitin and proteasome pathways 3
    • Acute Myeloid Leukemia Research 17

Christopher Slape

25 papers receiving 960 citations

Peers

Christopher Slape
Comparison fields: 5 of 55
  • Hematology 513
  • Molecular Biology 691
  • Genetics 91
  • Cancer Research 109
  • Immunology 135
Replace Vijay P.S. Rawat with:
Vijay P.S. Rawat Germany
Shabnam Kharazi Sweden
Karina Eiwen Germany
Zhongling Cai United States
Anna Kilbey United Kingdom
Tihomira I. Todorova United States
Michelle D. O’Laughlin United States
Sheryl M. Gough United States
Mikkel Bruhn Schuster Denmark
Christopher Slape relative to Vijay P.S. Rawat Germany Vijay P.S. Rawat's profile →
Citations per field
00.5×1.5×1.9×
Vijay P.S. Rawat · 1×
Citations per year

Countries citing papers authored by Christopher Slape

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Slape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011230
2 2005162
3 200473
4 201261
5 200754
6 201453
7 201249
8 200847
9 200834
10 201232
11 200827
12 200526
13 200920
14 201217
15 200816
16 201614
17 200914
18 201912
19 200711
20 201310

About Christopher Slape

Christopher Slape is a scholar working on Molecular Biology, Hematology, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 29 papers that have together received 970 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Protein Degradation and Inhibitors (7 papers), CAR-T cell therapy research (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Genomics and Chromatin Dynamics (4 papers), Nuclear Structure and Function (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hematology (513 citations), Molecular Biology (691 citations), Genetics (91 citations), Cancer Research (109 citations) and Immunology (135 citations). Christopher Slape has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Peter D. Aplan, Sheryl M. Gough, Ying‐Wei Lin, Zhenhua Zhang, Sarah H. Beachy, Chul Won Choi, Linda Wolff, Helge Hartung, Yang Jo Chung and Lakmali Atapattu. Their work appears in journals such as Blood, Cancer Research, Cancers, Leukemia and Growth Factors.

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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