Boyd Mudenda

768 citations
21 papers · 447 · h-index 10

Impact in

Papers in

Boyd Mudenda

20 papers receiving 439 citations

Peers

Boyd Mudenda
Comparison fields: 5 of 53
  • Oncology 242
  • Radiology, Nuclear Medicine and Imaging 81
  • Family Practice 6
  • Biotechnology 28
  • Cancer Research 43
Replace Nai‐Shun Yao with:
Nai‐Shun Yao Taiwan
Carlo Alberto Giorgi Italy
Neysa Garner United States
Yoko Oshima Japan
Yibing Peng United States
West Wh United States
Cornelis W. Tuk Netherlands
William Pierce United States
Gwen Kramer United States
Dominique Cazals France
Boyd Mudenda relative to Nai‐Shun Yao Taiwan Nai‐Shun Yao's profile →
Citations per field
00.5×4.7×
Nai‐Shun Yao · 1×
Citations per year

Countries citing papers authored by Boyd Mudenda

Since Specialization
Citations

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

Fields of papers citing papers by Boyd Mudenda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Boyd Mudenda, 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 Boyd Mudenda Line = papers co-authored together Boyd Mudenda 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 2017147
2 199481
3 200938
4 201536
5 199429
6 201818
7 202116
8 201715
9 201415
10 201713
11 20179
12 20175
13 20095
14 20085
15
DETERMINATION OF OXYTETRACYCLINE RESIDUE LEVELS IN EDIBLE TISSUES OF SLAUGHTERED CATTLE
20184
16 20204
17 20164
18 20101
19 20091
20 20101

About Boyd Mudenda

Boyd Mudenda is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Epidemiology, having authored 21 papers that have together received 447 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (6 papers), Breast Cancer Treatment Studies (4 papers), Advanced Breast Cancer Therapies (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Diabetes Management and Education (2 papers), Multiple and Secondary Primary Cancers (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Oncology (242 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Family Practice (6 citations), Biotechnology (28 citations) and Cancer Research (43 citations). Boyd Mudenda has collaborated with scholars based in United States, Zambia and United Kingdom. Frequent co-authors include Lindsay B. Robertson, Sam Leinster, Charles Michelo, Aditya Bardia, David M. Goldenberg, Robert M. Sharkey, William A. Wegener, Pius Maliakal, Michael J. Guarino and Gregory A. Masters. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, European Journal of Cancer, Journal of Public Health 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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