Hong Ling

178 papers receiving 7.2k citations

Hong Ling's Hit Papers

Cuproptosis: p53-regulated metabolic cell death? 2023 · 192 citations
1920+8+17Years since publication200400600

Peers

Hong Ling
Comparison fields: 5 of 164
  • Parasitology 585
  • Nephrology 505
  • Endocrinology 352
  • Molecular Biology 3.6k
  • Infectious Diseases 881
Replace Ying Zhang with:
Ying Zhang China
Bruno O. Villoutreix France
Ana Rodrı́guez United States
John L. Ryan United States
Huub Schellekens Netherlands
Matthew K. Higgins United Kingdom
Sanjeev Krishna United Kingdom
Oberdan Léo Belgium
Paul G. Thomas United States
Xiang Qin United States
Hong Ling relative to Ying Zhang China Ying Zhang's profile →
Citations per field
00.5×5.3×
Ying Zhang · 1×
Citations per year

Countries citing papers authored by Hong Ling

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands
Hit paper breakdown →
2000715
2
Crystal Structure of a Y-Family DNA Polymerase in Action
Hit paper breakdown →
2001530
3 1998357
4 2011232
5 2005227
6 2012205
7
Cuproptosis: p53-regulated metabolic cell death?
Hit paper breakdown →
2023192
8 1997183
9 2003182
10 2008176
11 2004165
12 2005163
13 2004146
14 1999132
15 2009129
16 2003113
17 2004111
18 201290
19 201384
20 199878

About Hong Ling

Hong Ling is a scholar working on Molecular Biology, Infectious Diseases, Virology, Immunology and Nephrology, having authored 184 papers that have together received 7.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), DNA Repair Mechanisms (21 papers), DNA and Nucleic Acid Chemistry (17 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), HIV/AIDS drug development and treatment (11 papers), Parasitic Infections and Diagnostics (11 papers), Immune Cell Function and Interaction (10 papers) and Chronic Kidney Disease and Diabetes (8 papers). The work is most often cited by research in Parasitology (585 citations), Nephrology (505 citations), Endocrinology (352 citations), Molecular Biology (3.6k citations) and Infectious Diseases (881 citations). Hong Ling has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei Yang, Roger Woodgate, François Boudsocq, Randy J. Read, Glen D. Armstrong, Charles L. Edelstein, Joanna Sadowska, N.S. Pannu, George L. Mulvey and Pavel I. Kitov. Their work appears in journals such as PLoS ONE, Cancer Research, Kidney International, Journal of Molecular Biology and Parasitology Research.

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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