David Micklem

3.6k citations
49 papers · 2.7k · h-index 22

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways
    • Developmental Biology and Gene Regulation
    • RNA and protein synthesis mechanisms

Papers in

David Micklem

47 papers receiving 2.6k citations

Peers

David Micklem
Comparison fields: 5 of 88
  • Oncology 450
  • Molecular Biology 1.3k
  • Cancer Research 175
  • Hematology 148
  • Immunology 213
Replace Peter Nollau with:
Peter Nollau Germany
Rosaria Orlandi Italy
Simone Difilippantonio United States
Tyler T. Hickman United States
Axel Choidas Germany
Leonie A. Cluse Australia
Philippe Pasero France
Manfred Kubbies Germany
Marina Cardó‐Vila United States
David Micklem relative to Peter Nollau Germany Peter Nollau's profile →
Citations per field
00.5×2×3.3×
Peter Nollau · 1×
Citations per year

Countries citing papers authored by David Micklem

Since Specialization
Citations

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

Fields of papers citing papers by David Micklem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009491
2 2000304
3 2009291
4 2000190
5 1991173
6 1997170
7 2009119
8 2015119
9 202189
10 202082
11 201176
12 202276
13 199559
14 201050
15 200744
16 200942
17 201239
18 201330
19 202330
20 200729

About David Micklem

David Micklem is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Cells and Metastasis (5 papers), Acute Myeloid Leukemia Research (5 papers), Virus-based gene therapy research (3 papers), RNA Research and Splicing (3 papers), Cancer-related Molecular Pathways (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Oncology (450 citations), Molecular Biology (1.3k citations), Cancer Research (175 citations), Hematology (148 citations) and Immunology (213 citations). David Micklem has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include James B. Lorens, Stefan Grünert, Daniel St Johnston, Emmet McCormack, Bjørn Tore Gjertsen, Tone Sandal, Crina Elena Tiron, Lars A. Akslen, Hallvard Haugen and Christine Gjerdrum. Their work appears in journals such as Blood, Journal of Thoracic Oncology, PLoS ONE, Scientific Reports and Annals of Oncology.

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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