M. Davis

780 citations
20 papers · 648 · h-index 9

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Renal Transplantation Outcomes and Treatments

Papers in

M. Davis

19 papers receiving 629 citations

Peers

M. Davis
Comparison fields: 5 of 67
  • Hematology 455
  • Transplantation 44
  • Genetics 81
  • Immunology 155
  • Oncology 179
Replace Tong Wu with:
Tong Wu China
Fabrizio Carnevale‐Schianca Italy
Masuji Yamamoto Japan
Nicolaus Kröger Germany
Xiujin Ye China
Tiziana Zei Italy
Raija Silvennoinen Finland
SC Gulati United States
Chiara Gentilini Germany
Jaime Bald United States
M. Davis relative to Tong Wu China Tong Wu's profile →
Citations per field
00.5×1.5×
Tong Wu · 1×
Citations per year

Countries citing papers authored by M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2001436
2 200562
3 200133
4 198619
5 195818
6 200416
7
Studies of decitabine with allogeneic progenitor cell transplantation.
199713
8 196113
9 19628
10 20097
11 20106
12 20044
13 19594
14 19662
15 19662
16
Nitroxynil - the development of a new fasciolicide.
19691
17 19681
18 19801
19 19591
20
Oncogenic effects of 4-(p-dimethylaminostyryl)quinoline (4m20) in mice.
19651

About M. Davis

M. Davis is a scholar working on Parasitology, Pharmacology, Molecular Biology, Oncology and Hematology, having authored 20 papers that have together received 648 indexed citations. Recurring topics across this work include Parasites and Host Interactions (8 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Alkaline Phosphatase Research Studies (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Protein Degradation and Inhibitors (2 papers), Acute Myeloid Leukemia Research (2 papers), HER2/EGFR in Cancer Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (455 citations), Transplantation (44 citations), Genetics (81 citations), Immunology (155 citations) and Oncology (179 citations). M. Davis has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Naoto T. Ueno, Sergio Giralt, Richard E. Champlin, David F. Claxton, Michèle L. Donato, Issa F. Khouri, James Gajewski, Börje S. Andersson, Paolo Anderlini and Michael Andreeff. Their work appears in journals such as Blood, Bone Marrow Transplantation, British Journal of Cancer, Histopathology and Journal of Animal Science.

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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