Daniel Ndisang

410 citations
17 papers · 309 · h-index 10

Impact in

Papers in

    • Cervical Cancer and HPV Research 10
    • Molecular Biology Techniques and Applications 4
    • RNA modifications and cancer 2

Daniel Ndisang

17 papers receiving 301 citations

Peers

Daniel Ndisang
Comparison fields: 5 of 58
  • Cancer Research 49
  • Epidemiology 107
  • Molecular Biology 175
  • Oncology 58
  • Microbiology 12
Replace Ingrid Medina‐Martínez with:
Ingrid Medina‐Martínez Mexico
J. Seidel Germany
Marc Botcherby United Kingdom
R Sorrentino Italy
Xinliang Zhao United States
S.E. Combs United States
Nitish Gulve Germany
Maja Cokarić Brdovčak Croatia
Gregory M. Frechette United States
Stephen Joachim United States
Daniel Ndisang relative to Ingrid Medina‐Martínez Mexico Ingrid Medina‐Martínez's profile →
Citations per field
00.5×1.5×2.3×
Ingrid Medina‐Martínez · 1×
Citations per year

Countries citing papers authored by Daniel Ndisang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ndisang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200574
2 199959
3 201042
4 199927
5 200119
6 200512
7 200512
8 200311
9 200011
10 200210
11 20109
12 20036
13 20055
14 20004
15 20034
16 20092
17 20142

About Daniel Ndisang

Daniel Ndisang is a scholar working on Epidemiology, Molecular Biology, Oncology, Ecology, Evolution, Behavior and Systematics and Cancer Research, having authored 17 papers that have together received 309 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (10 papers), Cancer-related Molecular Pathways (4 papers), Molecular Biology Techniques and Applications (4 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), interferon and immune responses (1 paper), Teacher Education and Leadership Studies (1 paper) and Reflective Practices in Education (1 paper). The work is most often cited by research in Cancer Research (49 citations), Epidemiology (107 citations), Molecular Biology (175 citations), Oncology (58 citations) and Microbiology (12 citations). Daniel Ndisang has collaborated with scholars based in United Kingdom, Greece and Australia. Frequent co-authors include Vishwanie Budhram‐Mahadeo, David S. Latchman, D.S. Latchman, Barbara Weber, Theresa M. Ward, Albert Singer, David J. Faulkes, Laila Samady, Corrado D’Arrigo and Richard J. Heads. Their work appears in journals such as Oncogene, Clinical Science, Gynecologic Oncology, International Journal of Gynecological Cancer and Journal of Biological Chemistry.

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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