Mark KuKuruga

1.2k citations
40 papers · 921 · h-index 18

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

Mark KuKuruga

38 papers receiving 895 citations

Peers

Mark KuKuruga
Comparison fields: 5 of 95
  • Immunology 360
  • Hematology 172
  • Parasitology 46
  • Oncology 189
  • Nutrition and Dietetics 89
Replace William Hanna with:
William Hanna United States
R. van Furth Netherlands
Jooho Chung United States
David A. Rhodes United Kingdom
Kjetil Hestdal Norway
Tatjana Banovic Australia
Christine T. N. Pham United States
Michał Pyzik Canada
Katsuya Nagatani Japan
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Mark KuKuruga

Since Specialization
Citations

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

Fields of papers citing papers by Mark KuKuruga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001140
2 199687
3
Cytotoxicity and accumulation of ganciclovir triphosphate in bystander cells cocultured with herpes simplex virus type 1 thymidine kinase-expressing human glioblastoma cells.
199961
4 199661
5 200257
6 201550
7 201747
8 199540
9 198739
10 201636
11 200226
12 201624
13 201820
14 199720
15 202119
16 199419
17 202018
18 201817
19 199617
20 199315

About Mark KuKuruga

Mark KuKuruga is a scholar working on Molecular Biology, Immunology, Oncology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 40 papers that have together received 921 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (5 papers), Parasites and Host Interactions (5 papers), Research on Leishmaniasis Studies (5 papers), Immune Cell Function and Interaction (4 papers), Trypanosoma species research and implications (3 papers), Prostate Cancer Treatment and Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (360 citations), Hematology (172 citations), Parasitology (46 citations), Oncology (189 citations) and Nutrition and Dietetics (89 citations). Mark KuKuruga has collaborated with scholars based in United States and India. Frequent co-authors include Takanori Teshima, Chen Liu, Pavan Reddy, James L.M. Ferrara, Paul L. Fidel, Norbert A. Wolf, Adovi Akue, Rainer Ordemann, Frances W.J. Beck and Donna S. Shewach. Their work appears in journals such as Cytometry, Infection and Immunity, The Journal of Immunology, PLoS ONE and Cancer.

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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