Moo Kho Paw

1.8k citations
34 papers · 869 indexed · h-index 17

Moo Kho Paw

33 papers receiving 836 citations

Peers

Moo Kho Paw
Comparison fields: 5 of 81
  • Pediatrics, Perinatology and Child Health 421
  • Obstetrics and Gynecology 164
  • Parasitology 130
  • Public Health, Environmental and Occupational Health 473
  • Nutrition and Dietetics 117
Replace Linda Kalilani‐Phiri with:
Linda Kalilani‐Phiri Malawi
Rosalind Coleman Gambia
Julianna Schantz-Dunn United States
Aung Myat Min Thailand
John M. Ssenkusu Uganda
Blami Dao Burkina Faso
Abdel Aziem A. Ali Sudan
Kobto G. Koura France
Tamer Hifnawy Egypt
Kabiru Afolarin Rabiu Nigeria
Moo Kho Paw relative to Linda Kalilani‐Phiri Malawi Linda Kalilani‐Phiri's profile →
Citations per field
00.5×1.5×1.8×
Linda Kalilani‐Phiri · 1×
Citations per year

Countries citing papers authored by Moo Kho Paw

Since Specialization
Citations

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

Fields of papers citing papers by Moo Kho Paw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moo Kho Paw. 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 Moo Kho Paw. The network helps show where Moo Kho Paw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20227
3 202110
4 202120
5 202110
6 20194
7 201827
8
Optimal duration of follow-up for assessing efficacy of drugs for uncomplicated falciparum malaria in pregnancy in Asia: a systematic review and individual patient data meta-analysis
20171
9 20178
10 20179
11 201741
12 201610
13
MORE THAN FOUR ANTENATAL MALARIA SCREENS REDUCES THE EFFECTS OF MALARIA ON ADVERSE PREGNANCY OUTCOMES
20151
14 201533
15 201440
16 201212
17 2011171
18 201072
19 200834
20 200766

About Moo Kho Paw

Moo Kho Paw is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 869 indexed citations. Recurring topics across this work include Global Maternal and Child Health (15 papers), Malaria Research and Control (9 papers), Child Nutrition and Water Access (7 papers), Migration, Health and Trauma (5 papers), Pharmacological Effects and Toxicity Studies (5 papers), Neonatal Health and Biochemistry (4 papers), Pregnancy and preeclampsia studies (3 papers) and Maternal and fetal healthcare (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (421 citations), Obstetrics and Gynecology (164 citations) and Parasitology (130 citations). Moo Kho Paw has collaborated with scholars based in Thailand, United Kingdom and Australia. Frequent co-authors include François Nosten, Rose McGready, Nicholas J. White, Jacher Wiladphaingern, Mupawjay Pimanpanarak, Marcus J. Rijken, J. A. Simpson, Machteld E. Boel, Pratap Singhasivanon and Verena I. Carrara. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Antimicrobial Agents and Chemotherapy.

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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