Makesha Miggins

753 citations
9 papers · 246 · h-index 6

Impact in

Papers in

    • Clostridium difficile and Clostridium perfringens research 2
    • Viral gastroenteritis research and epidemiology 1
    • SARS-CoV-2 and COVID-19 Research 1
    • Breast Cancer Treatment Studies 2

Makesha Miggins

9 papers receiving 240 citations

Peers

Makesha Miggins
Comparison fields: 5 of 38
  • Cancer Research 127
  • Pathology and Forensic Medicine 39
  • Safety, Risk, Reliability and Quality 13
  • Economics and Econometrics 34
  • Oncology 29
Replace J Jombwe with:
J Jombwe Uganda
Mobolaji A. Oludara Nigeria
Akinbolaji Akinkuolie Nigeria
Mohamed Ramdani France
Ishwarya Balasubramanian Ireland
Olukayode Arowolo Nigeria
Samuel Olatoke Nigeria
S. Govindarajulu United Kingdom
Andrew L. Laccetti United States
Katherine Tullio United States
Makesha Miggins relative to J Jombwe Uganda J Jombwe's profile →
Citations per field
00.5×2×4×6.8×
J Jombwe · 1×
Citations per year

Countries citing papers authored by Makesha Miggins

Since Specialization
Citations

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

Fields of papers citing papers by Makesha Miggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017134
2 202040
3 201127
4 201119
5 201913
6 20125
7 20154
8 20213
9 20011

About Makesha Miggins

Makesha Miggins is a scholar working on Infectious Diseases, Cancer Research, Molecular Biology, Epidemiology and Safety, Risk, Reliability and Quality, having authored 9 papers that have together received 246 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Epigenetics and DNA Methylation (1 paper), Traffic and Road Safety (1 paper), Cancer-related gene regulation (1 paper), Opioid Use Disorder Treatment (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Cancer Research (127 citations), Pathology and Forensic Medicine (39 citations), Safety, Risk, Reliability and Quality (13 citations), Economics and Econometrics (34 citations) and Oncology (29 citations). Makesha Miggins has collaborated with scholars based in United States and Canada. Frequent co-authors include Abigail S. Caudle, Kelly K. Hunt, Henry M. Kuerer, Sarah M. DeSnyder, Carlos H. Bárcenas, Anthony Lucci, Mediget Teshome, Benjamin D. Smith, Savitri Krishnamurthy and Tanya W. Moseley. Their work appears in journals such as Annals of Surgical Oncology, Journal of the American College of Surgeons, Journal of Molecular and Cellular Cardiology, The Journal of Trauma: Injury, Infection, and Critical Care and Surgical Infections.

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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