Michael S. Lopez

684 citations
12 papers · 525 · h-index 10

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • Protein Degradation and Inhibitors 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Acute Myeloid Leukemia Research 2
    • Chronic Myeloid Leukemia Treatments 2

Michael S. Lopez

12 papers receiving 512 citations

Peers

Michael S. Lopez
Comparison fields: 5 of 72
  • Parasitology 85
  • Molecular Medicine 42
  • Hematology 58
  • Molecular Biology 291
  • Genetics 29
Replace Joseph Donald Smith with:
Joseph Donald Smith United States
Urša Pečar Fonović Slovenia
Rebecca S. Bamert Australia
Jessica L. Bridgford Australia
Nikola Valkov United States
Minyi Gu United States
Shirin Arastu‐Kapur United States
Isabelle Ricard France
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Citations per field
00.5×4.1×
Joseph Donald Smith · 1×
Citations per year

Countries citing papers authored by Michael S. Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200881
2 201464
3 201863
4 201761
5 201754
6 201353
7 201350
8 201444
9 201328
10 201417
11
Autologous marrow transplantation for patients with chronic myeloid leukemia in accelerated or blastic phase: report of 14 cases.
19868
12
[Autograft of bone marrow treated by in vitro chemotherapy (Asta Z 7557) for consolidation of acute leukemia in adults in the first complete remission].
19872

About Michael S. Lopez

Michael S. Lopez is a scholar working on Molecular Biology, Hematology, Organic Chemistry, Genetics and Oncology, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Toxoplasma gondii Research Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Parasitology (85 citations), Molecular Medicine (42 citations), Hematology (58 citations), Molecular Biology (291 citations) and Genetics (29 citations). Michael S. Lopez has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Kevan M. Shokat, Kevan M. Shokat, Arvin C. Dar, Joseph I. Kliegman, L. David Sibley, Jennifer Barks, Qiuling Wang, Irene S. Tan, Min Xu and Jing Kang. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, Methods in enzymology on CD-ROM/Methods in enzymology, Journal of the American Chemical Society and Biology of Reproduction.

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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