Daojun Mo

781 citations
20 papers · 619 · h-index 12

Impact in

Papers in

Daojun Mo

19 papers receiving 587 citations

Peers

Daojun Mo
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 394
  • Rheumatology 70
  • Cardiology and Cardiovascular Medicine 57
  • Family Practice 4
  • Psychiatry and Mental health 28
Replace Joanne R. Julius with:
Joanne R. Julius United States
Ruth M. Belin United States
Silvia Díaz‐Cerezo Spain
Thomas Bo Jensen Denmark
Zohreh Karamizadeh Iran
Nazlı Gönç Türkiye
Hernando Vargas‐Uricoechea Colombia
Cecilia Lazea Romania
Marilyn Tuttleman United States
Efstathios Papadakis Greece
Daojun Mo relative to Joanne R. Julius United States Joanne R. Julius's profile →
Citations per field
00.5×12×
Joanne R. Julius · 1×
Citations per year

Countries citing papers authored by Daojun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Daojun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015108
2 200999
3 202058
4 201158
5 200951
6 200849
7 201546
8 201436
9 201333
10 201921
11 200519
12 200112
13 20068
14 20217
15 20246
16 20214
17 20252
18 20211
19
Using Direct Standardization SAS® Macro for a Valid Comparison in Observational Studies
20081
20 20230

About Daojun Mo

Daojun Mo is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Immunology, Psychiatry and Mental health and Genetics, having authored 20 papers that have together received 619 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Biosimilars and Bioanalytical Methods (2 papers), Sexual function and dysfunction studies (2 papers), Indigenous Studies and Ecology (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and Fluoride Effects and Removal (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (394 citations), Rheumatology (70 citations), Cardiology and Cardiovascular Medicine (57 citations), Family Practice (4 citations) and Psychiatry and Mental health (28 citations). Daojun Mo has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Andrea Attanasio, Jay Bae, David R. Nelson, Byron J. Hoogwerf, Maureen J. Lage, Eva Marie Erfurth, Шломо Мелмед, Philippe Chanson, Alan G. Zimmermann and Christian J. Strasburger. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Lara D. Veeken, The Journal of Rheumatology, RMD Open and The Lancet Rheumatology.

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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