Kaitlin H. Wade

17.0k citations
55 papers · 6.8k indexed · 3 hit papers · h-index 23
Topics
Genetic Associations and Epidemiology (21 papers)Birth, Development, and Health (17 papers)Obesity, Physical Activity, Diet (12 papers)

In The Last Decade

Kaitlin H. Wade

49 papers receiving 6.8k citations

Hit Papers

The MR-Base platform supports systematic causal inference...201620262019202220182019201610002.0k3.0k4.0k

Peers

Kaitlin H. Wade
Comparison fields: 5 of 143
  • Genetics 3.2k
  • Molecular Biology 1.7k
  • Epidemiology 970
  • Physiology 954
  • Public Health, Environmental and Occupational Health 835
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
00.5×1.5×1.8×
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 of co-authors of Kaitlin H. Wade

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlin H. Wade. A scholar is included among the top collaborators of Kaitlin H. Wade based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaitlin H. Wade. Kaitlin H. Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 3
5 9
6 95
7 129
8 16
9 176
10 12
11 50
12 55
13 105
14 75
15 15
16 36
17
LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data
5
18 14
19 11
20 21

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) and Obesity, Physical Activity, Diet (12 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. Their work appears in journals such as Cell, Circulation and Nature Medicine.

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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