Long Do

1.5k total citations · 1 hit paper
11 papers, 862 citations indexed

About

Long Do is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Long Do has authored 11 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Oncology. Recurrent topics in Long Do's work include Knee injuries and reconstruction techniques (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Genomics and Phylogenetic Studies (2 papers). Long Do is often cited by papers focused on Knee injuries and reconstruction techniques (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Genomics and Phylogenetic Studies (2 papers). Long Do collaborates with scholars based in United States and Canada. Long Do's co-authors include Loren Hauser, Caroline Peres, Jane E. Lamerdin, Dale A. Pelletier, Stephanie Malfatti, Thomas E. Hanson, Caroline S. Harwood, Patrick Chain, Andrew S. Lang and Janet L. Gibson and has published in prestigious journals such as Neuron, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Long Do

10 papers receiving 839 citations

Hit Papers

Complete genome sequence of the metabolically versatile p... 2003 2026 2010 2018 2003 200 400 600

Peers

Long Do
Comparison fields: 5 of 113
  • Molecular Biology 429
  • Ecology 180
  • Environmental Engineering 142
  • Rheumatology 129
  • Renewable Energy, Sustainability and the Environment 123
Replace Trina M. Norden‐Krichmar with:
Trina M. Norden‐Krichmar United States
Annette Shoba Vincent Qatar
Alfred Hansel Germany
Giuseppe Merlino Italy
Young‐Ho Chung South Korea
Marty R. Jacobson United States
Stefan Burén Spain
R. F. Jack United States
Elizabeth Skovran United States
Hui Cai China
Trina M. Norden‐Krichmar United States View profile →
Citations per field, relative to Long Do
Long Do · 1×
Citations per year, relative to Long Do
Long Do · 1×

Countries citing papers authored by Long Do

Since Specialization
Citations

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

Fields of papers citing papers by Long Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Do

This figure shows the co-authorship network connecting the top 25 collaborators of Long Do. A scholar is included among the top collaborators of Long Do 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 Long Do. Long Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 7
2 18
3 4
4 3
5 1
6 3
7 176
8 43
9 5
10 2
11
Complete genome sequence of the metabolically versatile photosynthetic bacterium Rhodopseudomonas palustris breakdown →
600

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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