Amit Golding

809 citations
23 papers · 616 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Systemic Lupus Erythematosus Research

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 3
    • FOXO transcription factor regulation 2

Amit Golding

22 papers receiving 608 citations

Peers

Amit Golding
Comparison fields: 5 of 88
  • Immunology 378
  • Rheumatology 65
  • Oncology 78
  • Cancer Research 34
  • Molecular Biology 130
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Citations per field
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Citations per year

Countries citing papers authored by Amit Golding

Since Specialization
Citations

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

Fields of papers citing papers by Amit Golding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999116
2 2012101
3 201387
4 201060
5 200958
6 200736
7 201720
8 201817
9 201616
10 201516
11 202015
12 201711
13 199110
14 199810
15 20189
16 20199
17 20207
18 20215
19 20244
20 20164

About Amit Golding

Amit Golding is a scholar working on Immunology, Molecular Biology, Rheumatology, Genetics and Infectious Diseases, having authored 23 papers that have together received 616 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), Systemic Lupus Erythematosus Research (4 papers), Immunotherapy and Immune Responses (3 papers), FOXO transcription factor regulation (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Health Services Management and Policy (1 paper). The work is most often cited by research in Immunology (378 citations), Rheumatology (65 citations), Oncology (78 citations), Cancer Research (34 citations) and Molecular Biology (130 citations). Amit Golding has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Ethan M. Shevach, Simon Chandler, Esteban Ballestar, Mark S. Schlissel, Alan P. Wolffe, Sarfaraz Hasni, Gabor G. Illei, Dat Q. Tran, Jeongheon Yoon and Angela M. Thornton. Their work appears in journals such as Arthritis Care & Research, The Journal of Clinical Pharmacology, Journal of Immunological Methods, ACS Biomaterials Science & Engineering and Cellular Immunology.

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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