Li Long

1.7k citations
52 papers · 1.4k · h-index 19

Impact in

Papers in

    • Rheumatoid Arthritis Research and Therapies 9
    • Systemic Lupus Erythematosus Research 3
    • Extracellular vesicles in disease 3
    • Circular RNAs in diseases 2

Li Long

51 papers receiving 1.3k citations

Peers

Li Long
Comparison fields: 5 of 81
  • Rheumatology 257
  • Endocrinology, Diabetes and Metabolism 147
  • Cancer Research 75
  • Oncology 118
  • Genetics 42
Replace John G. Emery with:
John G. Emery United States
Carmen Z. Michaylira United States
Ricardo Borges da Costa United States
Jack Hutcheson United States
Manisha R. Shah United States
Jędrzej Grzegrzółka Poland
Elba A. Turbat‐Herrera United States
Hanako Kobayashi United States
Giuseppe Giuffrè Italy
Jens Hasskarl United States
Li Long relative to John G. Emery United States John G. Emery's profile →
Citations per field
00.5×5×10×14.3×
John G. Emery · 1×
Citations per year

Countries citing papers authored by Li Long

Since Specialization
Citations

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

Fields of papers citing papers by Li Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011187
2
Loss of the metastatic phenotype in murine carcinoma cells expressing an antisense RNA to the insulin-like growth factor receptor.
1995126
3 2013109
4 201694
5 201274
6 199871
7 201962
8
Paracrine growth stimulation by hepatocyte-derived insulin-like growth factor-1: a regulatory mechanism for carcinoma cells metastatic to the liver.
199460
9 202252
10 200351
11 201739
12 202438
13 201832
14 201730
15 201828
16 201026
17 201726
18
Circulating Dickkopf-1 and osteoprotegerin in patients with early and longstanding rheumatoid arthritis.
201024
19 201819
20 202219

About Li Long

Li Long is a scholar working on Rheumatology, Molecular Biology, Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Small Animals, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (9 papers), Extracellular vesicles in disease (3 papers), Systemic Lupus Erythematosus Research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Circular RNAs in diseases (2 papers), Sperm and Testicular Function (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Salivary Gland Disorders and Functions (2 papers). The work is most often cited by research in Rheumatology (257 citations), Endocrinology, Diabetes and Metabolism (147 citations), Cancer Research (75 citations), Oncology (118 citations) and Genetics (42 citations). Li Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pnina Brodt, R Rubin, Renato Baserga, Raphael Rubin, John Nip, Aiguo Wu, James A. Zanghi, Zhanguo Li, Xinying Tan and Rong Mu. Their work appears in journals such as Blood, Annals of the Rheumatic Diseases, eLife, Experimental Cell Research and Science Translational 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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