Laurence D. Parnell

9.2k citations
146 papers · 5.6k indexed · h-index 44
Topics
Genetic Associations and Epidemiology (28 papers)Diet and metabolism studies (18 papers)Nutrition, Genetics, and Disease (17 papers)
Partner nations
United StatesSpainChina

In The Last Decade

Laurence D. Parnell

142 papers receiving 5.5k citations

Peers

Laurence D. Parnell
Comparison fields: 5 of 145
  • Molecular Biology 2.2k
  • Genetics 1.3k
  • Physiology 1.3k
  • Plant Science 1.1k
  • Endocrinology, Diabetes and Metabolism 726
Replace Chao‐Qiang Lai with:
Chao‐Qiang Lai United States
Mark V. Boekschoten Netherlands
Johan W. Jonker Netherlands
Carolyn L. Cummins Canada
Robert P. Mohney United States
Pradip Saha United States
Tracy G. Anthony United States
Hua Zhang China
Na Wang China
Damjana Rozman Slovenia
Laurence D. Parnell relative to Chao‐Qiang Lai United States Chao‐Qiang Lai's profile →
Citations per field
00.5×1.5×
Chao‐Qiang Lai · 1×
Citations per year

Countries citing papers authored by Laurence D. Parnell

Since Specialization
Citations

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

Fields of papers citing papers by Laurence D. Parnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurence D. Parnell. 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 Laurence D. Parnell. The network helps show where Laurence D. Parnell may publish in the future.

Co-authorship network of co-authors of Laurence D. Parnell

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence D. Parnell. A scholar is included among the top collaborators of Laurence D. Parnell 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 Laurence D. Parnell. Laurence D. Parnell 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 1
2 2
3 3
4 1
5 7
6 35
7 6
8 9
9 7
10 46
11 49
12 39
13 14
14 44
15 19
16 44
17 30
18 128
19 233
20 76

About Laurence D. Parnell

Laurence D. Parnell is a scholar working on Endocrinology, Diabetes and Metabolism, Aging and Genetics, having authored 146 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (28 papers), Diet and metabolism studies (18 papers) and Nutrition, Genetics, and Disease (17 papers). The work is most often cited by research in Aging (246 citations), Endocrine and Autonomic Systems (463 citations) and Physiology (1.3k citations). Laurence D. Parnell has collaborated with scholars based in United States, Spain and China. Frequent co-authors include José M. Ordovás, Chao‐Qiang Lai, Donna K. Arnett, Katherine L. Tucker, Caren E. Smith, Yu‐Chi Lee, Michael Y. Tsai, Robert A. Martienssen, Marta Garaulet and Dolores Corella. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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