Lu Gram

2.9k citations
49 papers · 926 · h-index 19

Impact in

Papers in

Lu Gram

43 papers receiving 908 citations

Peers

Lu Gram
Comparison fields: 5 of 101
  • Health 204
  • Pediatrics, Perinatology and Child Health 193
  • Safety Research 78
  • Gender Studies 69
  • General Health Professions 152
Replace Fernanda Ewerling with:
Fernanda Ewerling Brazil
Katherine Hay United States
Saritha Nair India
Cornelius Debpuur Ghana
Jalandhar Pradhan India
William T. Story United States
Richard Gyan Aboagye Ghana
Phyllis Dako‐Gyeke Ghana
Alissa Koski Canada
Lotus McDougal United States
Lu Gram relative to Fernanda Ewerling Brazil Fernanda Ewerling's profile →
Citations per field
00.5×10×15×20×22.5×
Fernanda Ewerling · 1×
Citations per year

Countries citing papers authored by Lu Gram

Since Specialization
Citations

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

Fields of papers citing papers by Lu Gram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201589
2 201471
3 201856
4 201552
5 202251
6 201449
7 201545
8 202240
9 201840
10 202037
11 201935
12 201933
13 201933
14 202031
15 201828
16 201825
17 201623
18 202122
19 202121
20 202018

About Lu Gram

Lu Gram is a scholar working on Sociology and Political Science, Health, General Health Professions, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 49 papers that have together received 926 indexed citations. Recurring topics across this work include Intimate Partner and Family Violence (11 papers), Global Maternal and Child Health (7 papers), Poverty, Education, and Child Welfare (6 papers), Migration, Health and Trauma (4 papers), Community Health and Development (4 papers), Sex work and related issues (3 papers), Homelessness and Social Issues (3 papers) and Adolescent Sexual and Reproductive Health (3 papers). The work is most often cited by research in Health (204 citations), Pediatrics, Perinatology and Child Health (193 citations), Safety Research (78 citations), Gender Studies (69 citations) and General Health Professions (152 citations). Lu Gram has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include David Osrin, Nayreen Daruwalla, Joanna Morrison, Jolene Skordis, Betty Kirkwood, Seeba Amenga‐Etego, Naomi Saville, Dharma Manandhar, Jeneviève Mannell and Seth Owusu‐Agyei. Their work appears in journals such as BMJ Global Health, The Lancet, Social Science & Medicine, PLoS ONE and BMJ Open.

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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