Steven Knapper

5.8k citations
94 papers · 2.5k · h-index 23

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 61
    • Chronic Myeloid Leukemia Treatments 22
    • Multiple Myeloma Research and Treatments 18
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 25
    • Chronic Lymphocytic Leukemia Research 14

Steven Knapper

88 papers receiving 2.5k citations

Peers

Steven Knapper
Comparison fields: 5 of 89
  • Hematology 1.6k
  • Genetics 769
  • Molecular Biology 1.1k
  • Rheumatology 211
  • Biochemistry 63
Replace Susan O’Brien with:
Susan O’Brien United States
Maximilian Stahl United States
Jan Samuelsson Sweden
Aleksander B. Skotnicki Poland
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Lars Möllgård Sweden
Norma E. Fox United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven Knapper

Since Specialization
Citations

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

Fields of papers citing papers by Steven Knapper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015364
2 2006332
3 2011196
4 2016124
5 2006104
6 2013101
7 2018100
8 201791
9 201874
10 201572
11 201272
12 201356
13 201656
14 201054
15 200751
16 200149
17 201946
18 201046
19 201342
20 201140

About Steven Knapper

Steven Knapper is a scholar working on Hematology, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and Oncology, having authored 94 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (61 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (25 papers), Chronic Myeloid Leukemia Treatments (22 papers), Multiple Myeloma Research and Treatments (18 papers), Chronic Lymphocytic Leukemia Research (14 papers), Histone Deacetylase Inhibitors Research (12 papers), Protein Degradation and Inhibitors (10 papers) and Acute Lymphoblastic Leukemia research (9 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (769 citations), Molecular Biology (1.1k citations), Rheumatology (211 citations) and Biochemistry (63 citations). Steven Knapper has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Alan K. Burnett, Mark J. Levis, Donald Small, Robert K. Hills, Nigel H. Russell, Mary Frances McMullin, Richard E. Clark, Amanda Gilkes, William J. Kell and Raj Chopra. Their work appears in journals such as Blood, British Journal of Haematology, HemaSphere, Leukemia and Blood Advances.

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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