M.A. Witlox

20 papers receiving 562 citations

Peers

M.A. Witlox
Comparison fields: 5 of 66
  • Orthopedics and Sports Medicine 50
  • Cancer Research 85
  • Oncology 141
  • Genetics 114
  • Molecular Biology 279
Replace Huajia Zhang with:
Huajia Zhang United States
Kohei Okuyama Japan
Ryunosuke Muro Japan
Bettina Grötsch Germany
Christopher S. Ontiveros United States
Jun-ichi Imai Japan
Sylvia A. Bleuming Netherlands
Claudia Gemelli Italy
Adelheid Munz Germany
Bijender Kumar United States
M.A. Witlox relative to Huajia Zhang United States Huajia Zhang's profile →
Citations per field
00.5×1.5×1.9×
Huajia Zhang · 1×
Citations per year

Countries citing papers authored by M.A. Witlox

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Witlox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011166
2
Expression of DNA topoisomerase IIalpha and topoisomerase IIbeta genes predicts survival and response to chemotherapy in patients with small cell lung cancer.
199994
3 200247
4 200741
5 200638
6 200437
7 201720
8 202120
9
Gene-directed enzyme prodrug therapy for osteosarcoma: sensitization to CPT-11 in vitro and in vivo by adenoviral delivery of a gene encoding secreted carboxylesterase-2.
200320
10 200519
11 202219
12 200815
13 201814
14 20229
15 20227
16 20225
17 20233
18 20222
19 20232
20 20231

About M.A. Witlox

M.A. Witlox is a scholar working on Surgery, Molecular Biology, Genetics, Oncology and Orthopedics and Sports Medicine, having authored 21 papers that have together received 579 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Hip disorders and treatments (4 papers), Foot and Ankle Surgery (4 papers), Sarcoma Diagnosis and Treatment (3 papers), RNA Interference and Gene Delivery (3 papers), Cerebral Palsy and Movement Disorders (3 papers), CAR-T cell therapy research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (50 citations), Cancer Research (85 citations), Oncology (141 citations), Genetics (114 citations) and Molecular Biology (279 citations). M.A. Witlox has collaborated with scholars based in Netherlands, United States and Taiwan. Frequent co-authors include Gertjan J.L. Kaspers, Barend J. van Royen, Jantine PosthumaDeBoer, P. Wuisman, Victor W. van Beusechem, Winald R. Gerritsen, Paul van der Valk, Roland A. L. M. Stallaert, Anne‐Marie C. Dingemans and Giuseppe Giaccone. Their work appears in journals such as Foot and Ankle Surgery, The Journal of Gene Medicine, EFORT Open Reviews, BMJ Open and Bone & Joint Open.

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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