Kaitlin H. Wade

17.0k citations
55 papers · 6.8k indexed · 3 hit papers · h-index 23

Kaitlin H. Wade

49 papers receiving 6.8k citations

Hit Papers

Polygenic Prediction of Weight and Obesity Trajectories f...432201620262019202210002.0k3.0k4.0k

Peers

Kaitlin H. Wade
Comparison fields: 5 of 143
  • Genetics 3.2k
  • Biological Psychiatry 109
  • Rheumatology 580
  • Physiology 954
  • Endocrinology, Diabetes and Metabolism 559
Replace Rebecca C. Richmond with:
Rebecca C. Richmond United Kingdom
Jie Zheng China
James Yarmolinsky United Kingdom
J. Brent Richards Canada
Fabiola Del Greco M Italy
Ron Do United States
Benjamin Elsworth United Kingdom
Hashem A. Shihab United Kingdom
Chia‐Yen Chen United States
Ryan Langdon United Kingdom
Kaitlin H. Wade relative to Rebecca C. Richmond United Kingdom Rebecca C. Richmond's profile →
Citations per field
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Rebecca C. Richmond · 1×
Citations per year

Countries citing papers authored by Kaitlin H. Wade

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlin H. Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlin H. Wade. 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 Kaitlin H. Wade. The network helps show where Kaitlin H. Wade may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20234
4 20223
5 20219
6 202095
7 2020129
8 201916
9 2019176
10 201912
11 201950
12 201855
13 2018105
14 201875
15 201815
16 201736
17
LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data
20165
18 201414
19 201411
20 201421

About Kaitlin H. Wade

Kaitlin H. Wade is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Statistics and Probability, having authored 55 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (21 papers), Birth, Development, and Health (17 papers), Obesity, Physical Activity, Diet (12 papers), Nutritional Studies and Diet (6 papers), Health, Environment, Cognitive Aging (6 papers), Epigenetics and DNA Methylation (6 papers), Advanced Causal Inference Techniques (5 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Genetics (3.2k citations), Biological Psychiatry (109 citations) and Rheumatology (580 citations). Kaitlin H. Wade has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include George Davey Smith, Nicholas J. Timpson, Caroline L. Relton, Philip Haycock, Jack Bowden, Stephen Burgess, Richard M. Martin, Gibran Hemani, Ryan Langdon and James Yarmolinsky.

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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