M. T. ten Kate

771 citations
13 papers · 607 indexed · h-index 12

M. T. ten Kate

13 papers receiving 584 citations

Peers

M. T. ten Kate
Comparison fields: 5 of 81
  • Molecular Medicine 94
  • Infectious Diseases 257
  • Pharmaceutical Science 70
  • Microbiology 56
  • Biomaterials 112
Replace Wim van Vianen with:
Wim van Vianen Netherlands
Marian T. ten Kate Netherlands
Diana Flasher United States
Hedvika Lazar Switzerland
M F Michel Netherlands
Saman Soleimanpour Iran
Sandra I. Aguiar Portugal
Iraj Nikokar Iran
Yousef Amini Iran
Sasha J. Rose United States
M. T. ten Kate relative to Wim van Vianen Netherlands Wim van Vianen's profile →
Citations per field
00.5×2.7×
Wim van Vianen · 1×
Citations per year

Countries citing papers authored by M. T. ten Kate

Since Specialization
Citations

This map shows the geographic impact of M. T. ten Kate'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. T. ten Kate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. T. ten Kate more than expected).

Fields of papers citing papers by M. T. ten Kate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside M. T. ten Kate, 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. T. ten Kate Line = papers co-authored together M. T. ten Kate links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201116
2 201112
3 2010139
4 200921
5 200720
6 200724
7 19989
8
Doxorubicin entrapped in sterically stabilized liposomes: effects on bacterial blood clearance capacity of the mononuclear phagocyte system.
199853
9 199661
10 199561
11 199552
12 1993101
13 199338

About M. T. ten Kate

M. T. ten Kate is a scholar working on Molecular Medicine, Microbiology, Pharmaceutical Science, Infectious Diseases and Epidemiology, having authored 13 papers that have together received 607 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Antibiotic Resistance in Bacteria (3 papers), Infectious Diseases and Tuberculosis (2 papers), Pneumonia and Respiratory Infections (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Bacterial Infections and Vaccines (2 papers). The work is most often cited by research in Molecular Medicine (94 citations), Infectious Diseases (257 citations), Pharmaceutical Science (70 citations), Microbiology (56 citations) and Biomaterials (112 citations). M. T. ten Kate has collaborated with scholars based in Netherlands and Mexico. Frequent co-authors include Irma A. J. M. Bakker‐Woudenberg, Martin C. Woodle, G. Storm, Jurriaan E.M. de Steenwinkel, Henri A. Verbrugh, Gerjo J. de Knegt, A. F. Lokerse, Alex van Belkum, Johan W. Mouton and Dick van Soolingen. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, The Journal of Infectious Diseases, European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Pharmaceutics and Antimicrobial Agents and Chemotherapy.

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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