Long Do

1.5k citations
13 papers · 928 · 1 hit paper · h-index 6

Impact in

Papers in

Long Do

12 papers receiving 899 citations

Long Do's Hit Papers

Complete genome sequence of the metabolically versatile photosynthetic bacterium Rhodopseudomonas palustris 2003 · 648 citations
6480+7+15Years since publication200400600

Peers

Long Do
Comparison fields: 5 of 112
  • Environmental Engineering 157
  • Rheumatology 121
  • Pollution 102
  • Renewable Energy, Sustainability and the Environment 132
  • Ecology 191
Replace Trina M. Norden‐Krichmar with:
Trina M. Norden‐Krichmar United States
Annette Shoba Vincent Qatar
Alfred Hansel Germany
Donald J. Ferguson United States
Marty R. Jacobson United States
Robert S. English United States
Elizabeth Skovran United States
Shuxian Yu China
Stefan Burén Spain
Stefanie H. Baker United States
Long Do relative to Trina M. Norden‐Krichmar United States Trina M. Norden‐Krichmar's profile →
Citations per field
00.5×4.8×
Trina M. Norden‐Krichmar · 1×
Citations per year

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-authors

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

All Works

13 of 13 papers shown
#Work
1
Complete genome sequence of the metabolically versatile photosynthetic bacterium Rhodopseudomonas palustris
Hit paper breakdown →
2003648
2 2017182
3 201744
4 202219
5 20109
6 20239
7 20215
8 20193
9 20193
10 20072
11 20102
12 20191
13 20031

About Long Do

Long Do is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Rheumatology and Computer Networks and Communications, having authored 13 papers that have together received 928 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Coding theory and cryptography (1 paper), Neuroscience and Neural Engineering (1 paper), Cancer Genomics and Diagnostics (1 paper), Knee injuries and reconstruction techniques (1 paper), Microtubule and mitosis dynamics (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Environmental Engineering (157 citations), Rheumatology (121 citations), Pollution (102 citations), Renewable Energy, Sustainability and the Environment (132 citations) and Ecology (191 citations). Long Do has collaborated with scholars based in United States, Vietnam and Canada. Frequent co-authors include Dale A. Pelletier, Janet L. Gibson, Jane Gibson, Frank W. Larimer, J. Thomas Beatty, Andrew S. Lang, Cedric E. Bobst, Stephanie Malfatti, Caroline S. Harwood and F. Robert Tabita. Their work appears in journals such as Osteoarthritis and Cartilage, Nature Biotechnology, Neuron, Fly and Annals of the Rheumatic Diseases.

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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