L M Hang

498 citations
8 papers · 402 indexed · h-index 7
Topics
Systemic Lupus Erythematosus Research (4 papers)T-cell and B-cell Immunology (3 papers)Diabetes and associated disorders (2 papers)
Partner nations
United States

In The Last Decade

L M Hang

8 papers receiving 385 citations

Peers

L M Hang
Comparison fields: 5 of 53
  • Immunology 296
  • Rheumatology 145
  • Radiology, Nuclear Medicine and Imaging 104
  • Molecular Biology 67
  • Genetics 59
Replace Kristine E. Novick with:
Kristine E. Novick United States
Junpei Itoh Japan
Rozenn Le Corre France
R Motta France
R.J. Duquesnoy United States
Abdullah Al Sonbul Saudi Arabia
Safiya Al Abrawi Oman
Quan Zhen Li United States
Ruth Fischel Israel
E Höfler Austria
L M Hang relative to Kristine E. Novick United States Kristine E. Novick's profile →
Citations per field
00.5×1.5×2.0×
Kristine E. Novick · 1×
Citations per year

Countries citing papers authored by L M Hang

Since Specialization
Citations

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

Fields of papers citing papers by L M Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L M Hang. 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 L M Hang. The network helps show where L M Hang may publish in the future.

Co-authorship network of co-authors of L M Hang

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 17
2 95
3 56
4
Lack of cellular differentiation with neoplastic-like proliferation in the limbs of the newt Cynops pyrrhogaster.
1
5
Association of elevated serum glycoprotein gp70 with increased gp70 immune complex formation and accelerated lupus nephritis in autoimmune male BXSB mice.
18
6 20
7 120
8 75

About L M Hang

L M Hang is a scholar working on Immunology, Rheumatology and Genetics, having authored 8 papers that have together received 402 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (296 citations), Rheumatology (145 citations) and Immunology and Allergy (30 citations). L M Hang has collaborated with scholars based in United States. Frequent co-authors include Frank J. Dixon, Shozo Izui, M. Teresa Aguado, Argyrios N. Theofilopoulos, I. Hara, Patricia J. McConahey, Robert Balderas, Robert M. Nakamura, Raymond Tubbs and James P. Henry. Their work appears in journals such as The Journal of Experimental Medicine, Critical Reviews in Clinical Laboratory Sciences and Arthritis & Rheumatism.

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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