Nik Cummings

1.3k citations
12 papers · 478 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 3
    • Multiple Myeloma Research and Treatments 2
    • Histone Deacetylase Inhibitors Research 1
    • Cell death mechanisms and regulation 1

Nik Cummings

12 papers receiving 473 citations

Peers

Nik Cummings
Comparison fields: 5 of 67
  • Hematology 74
  • Epidemiology 156
  • Immunology 68
  • Physiology 70
  • Endocrine and Autonomic Systems 17
Replace Magdalena Leiva with:
Magdalena Leiva Spain
Sandra Schmidhofer Germany
Martin Serrano-Sanchez France
Darren Qiancheng Tan Singapore
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Ekaterina Zezina Germany
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Citations per field
00.5×3.4×
Magdalena Leiva · 1×
Citations per year

Countries citing papers authored by Nik Cummings

Since Specialization
Citations

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

Fields of papers citing papers by Nik Cummings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2009213
2 201674
3 201551
4 201545
5 201023
6 201620
7 201118
8 201415
9 201010
10 20196
11 20112
12
Mechanisms for cessation of neutrophil influx in a rabbit knee joint model of self limited inflammation
19841

About Nik Cummings

Nik Cummings is a scholar working on Hematology, Molecular Biology, Epidemiology, Immunology and Nephrology, having authored 12 papers that have together received 478 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (3 papers), Multiple Myeloma Research and Treatments (2 papers), Inflammatory mediators and NSAID effects (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Hematology (74 citations), Epidemiology (156 citations), Immunology (68 citations), Physiology (70 citations) and Endocrine and Autonomic Systems (17 citations). Nik Cummings has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Jeremy B. M. Jowett, John Blangero, Joanne E. Curran, Anthony G. Comuzzie, Ken Walder, Kiymet Bozaoglu, Greg R. Collier, Katherine A. Shields, Michael C. Mahaney and John L. VandeBerg. Their work appears in journals such as Blood, The Journal of Clinical Endocrinology & Metabolism, Oncotarget, European Journal of Human Genetics and International Journal of Obesity.

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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