Christopher Maisel

418 citations
20 papers · 139 · h-index 7

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research

Papers in

    • Multiple Myeloma Research and Treatments 17
    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 3
    • Peptidase Inhibition and Analysis 5
    • Cancer Treatment and Pharmacology 4

Christopher Maisel

20 papers receiving 138 citations

Peers

Christopher Maisel
Comparison fields: 5 of 25
  • Hematology 86
  • Oncology 49
  • Genetics 13
  • Molecular Biology 69
  • Cancer Research 9
Replace Ravi Vij with:
Ravi Vij United States
Luca Bertamini Italy
Sonia Morè Italy
José-María Arguiñano Spain
Engin Gul Canada
Laurène Fenwarth France
C. Hulin France
Laura Rosiñol Spain
Ana-Isabel Teruel Spain
Aino‐Maija Leppä Germany
Christopher Maisel relative to Ravi Vij United States Ravi Vij's profile →
Citations per field
00.5×2.9×
Ravi Vij · 1×
Citations per year

Countries citing papers authored by Christopher Maisel

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Maisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202326
2 200725
3 201124
4 201811
5 201910
6 20069
7 20219
8 20205
9 20233
10 20233
11 20232
12 20072
13 20192
14 20192
15 20231
16 20191
17 20211
18 20141
19 20191
20 20231

About Christopher Maisel

Christopher Maisel is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Infectious Diseases, having authored 20 papers that have together received 139 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Protein Degradation and Inhibitors (6 papers), Peptidase Inhibition and Analysis (5 papers), Acute Myeloid Leukemia Research (4 papers), Cancer Treatment and Pharmacology (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (86 citations), Oncology (49 citations), Genetics (13 citations), Molecular Biology (69 citations) and Cancer Research (9 citations). Christopher Maisel has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Nizar J. Bahlis, Scot C. Remick, Stanton L. Gerson, Joseph W. Fay, Pingfu Fu, Edward Agura, Xavier Leleu, R.B. Berryman, Houston Holmes and Giovanna Saracino. Their work appears in journals such as Blood, Journal of Clinical Oncology, HemaSphere, British Journal of Haematology and The Oncologist.

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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