Gordon Rukundo

13 papers receiving 239 citations

Gordon Rukundo's Hit Papers

Adverse maternal, fetal, and newborn outcomes among pregnant women with SARS-CoV-2 infection: an individual participant data meta-analysis 2023 · 110 citations
1100+1+2Years since publication255075100

Peers

Gordon Rukundo
Comparison fields: 5 of 37
  • Obstetrics and Gynecology 144
  • Infectious Diseases 52
  • Health 21
  • Toxicology 5
  • Virology 4
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Sakita Moungmaithong Hong Kong
Nicole D. Longcore United States
Mamie Lush United States
Kathryn Aveni United States
Levi Schlosser United States
Ken Takahashi Japan
Kirstin Webster United Kingdom
Calvin E. Lambert United States
María Begoña Encinas Pardilla Spain
Brittany Bergam United States
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Citations per year

Countries citing papers authored by Gordon Rukundo

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Rukundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Adverse maternal, fetal, and newborn outcomes among pregnant women with SARS-CoV-2 infection: an individual participant data meta-analysis
Hit paper breakdown →
2023110
2 202282
3 202114
4 201910
5 20228
6 20247
7 20213
8 20222
9 20222
10 20231
11 20231
12 20241
13 20251
14 20260
15 20260

About Gordon Rukundo

Gordon Rukundo is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Toxicology, General Health Professions and Health, having authored 15 papers that have together received 242 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), COVID-19 Impact on Reproduction (4 papers), Maternal and Neonatal Healthcare (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Neonatal and Maternal Infections (1 paper), Global Maternal and Child Health (1 paper), Pregnancy and Medication Impact (1 paper) and Adolescent Sexual and Reproductive Health (1 paper). The work is most often cited by research in Obstetrics and Gynecology (144 citations), Infectious Diseases (52 citations), Health (21 citations), Toxicology (5 citations) and Virology (4 citations). Gordon Rukundo has collaborated with scholars based in Uganda, United States and United Kingdom. Frequent co-authors include Jaco Homsy, Mary Glenn Fowler, Rachel Lisa King, Philippa Musoke, Samuel S. Malamba, Clemensia Nakabiito, Josaphat Kayogoza Byamugisha, Lynae A. Darbes, Monica L Nolan and Eric Vittinghoff. Their work appears in journals such as PLoS ONE, Journal of the International Association of Providers of AIDS Care (JIAPAC), Wellcome Open Research, Vaccine and BMJ Global Health.

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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