Miller Cw

3.0k citations
59 papers · 2.5k indexed · h-index 28

Miller Cw

59 papers receiving 2.5k citations

Peers

Miller Cw
Comparison fields: 5 of 97
  • Oncology 1.2k
  • Hematology 295
  • Cancer Research 359
  • Immunology 497
  • Biotechnology 189
Replace S J Kim with:
S J Kim United States
Yoshihiro Hatta Japan
Mitsuru Tsudo Japan
Toru Motokura Japan
A Kurata Japan
I Miyoshi Japan
Junichi Kameoka Japan
François Sigaux France
J. Whang‐Peng United States
Hiroko Tanaka Japan
Miller Cw relative to S J Kim United States S J Kim's profile →
Citations per field
00.5×5.1×
S J Kim · 1×
Citations per year

Countries citing papers authored by Miller Cw

Since Specialization
Citations

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

Fields of papers citing papers by Miller Cw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 1999161
2
Alterations of the cyclin-dependent kinase inhibitor p19 (INK4D) is rare in hematopoietic malignancies.
199621
3 199628
4
Mutant p53 proteins behave in a dominant, negative fashion in vivo.
199540
5 1995116
6 1995129
7
p53 mutations in HPV-negative cervical carcinoma.
199475
8
Mutant p53 proteins have diverse intracellular abilities to oligomerize and activate transcription.
199328
9
Analysis of p53 transactivation through high-affinity binding sites.
199334
10 1992194
11
p53 mutations in human lung tumors.
1992154
12 199179
13
A potential transcriptional activation element in the p53 protein.
1990113
14 198847
15 198436
16
Echocardiographic assessment of normal and abnormal valvular function in Beagle dogs.
197820
17 197610
18
Proceedings: Evaluation of the pulsed Doppler with a Fast Fourier Transform.
19741
19
Effects of blinding on blood glucose and serum insulin-like activity in rats.
19718
20
THE COMMUNITY HEALTH AIDE.
19644

About Miller Cw

Miller Cw is a scholar working on Hematology, Immunology and Oncology, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), Acute Myeloid Leukemia Research (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Acute Lymphoblastic Leukemia research (6 papers), T-cell and Retrovirus Studies (5 papers), Cardiovascular Conditions and Treatments (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Oncology (1.2k citations), Hematology (295 citations) and Cancer Research (359 citations). Miller Cw has collaborated with scholars based in United States. Frequent co-authors include HP Koeffler, H. Phillip Koeffler, Said Jw, CR Bartram, Toshiyasu Hirama, Akihiko Sakashita, H P Koeffler, Yoshihiro Hatta, Masao Tomonaga and Michael Lübbert. Their work appears in journals such as Blood, Journal of Bone and Joint Surgery, Journal of Clinical Investigation, International Journal of Oncology and Beiträge zur Tabakforschung international.

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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