Anil Singh

58 papers receiving 1.7k citations

Anil Singh's Hit Papers

Human resistin stimulates the pro-inflammatory cytokines TNF-α and IL-12 in macrophages by NF-κB-dependent pathway 2005 · 513 citations
5130+7+14Years since publication100200300400500

Peers

Anil Singh
Comparison fields: 5 of 110
  • Endocrine and Autonomic Systems 154
  • Biological Psychiatry 44
  • Immunology 351
  • Epidemiology 552
  • Oral Surgery 96
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Shih‐Chi Su Taiwan
Xinyu Chen China
René Valéro France
Daniela Marzioni Italy
Debra G. Silberg United States
Feng Xue China
Almudena Ortega‐Gómez Spain
Dominik M. Schulte Germany
Shih‐Chi Su Taiwan
Shinobu Sakamoto Japan
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Countries citing papers authored by Anil Singh

Since Specialization
Citations

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

Fields of papers citing papers by Anil Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human resistin stimulates the pro-inflammatory cytokines TNF-α and IL-12 in macrophages by NF-κB-dependent pathway
Hit paper breakdown →
2005513
2 2003118
3 201794
4 201585
5 201662
6 202160
7 201555
8 201352
9 200342
10 202141
11 201940
12 201537
13 201236
14 201833
15 202025
16 201923
17 201823
18 202023
19 201022
20 201421

About Anil Singh

Anil Singh is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Oncology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), NF-κB Signaling Pathways (6 papers), Acute Myeloid Leukemia Research (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Protein Degradation and Inhibitors (4 papers) and Oral and Maxillofacial Pathology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (154 citations), Biological Psychiatry (44 citations), Immunology (351 citations), Epidemiology (552 citations) and Oral Surgery (96 citations). Anil Singh has collaborated with scholars based in India, United States and China. Frequent co-authors include Aruna Battu, Nasreen Z. Ehtesham, Sudip Ghosh, Salahuddin Ahmed, Sangita Mukhopadhyay, Neerupma Silswal, Mukesh Chourasia, Sadiq Umar, Madhu M. Ouseph and Akhilesh Chandra. Their work appears in journals such as Blood, Frontiers in Immunology, The FASEB Journal, International Journal of Radiation Oncology*Biology*Physics and Journal of Cellular Biochemistry.

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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