Roger Gooding

740 citations
17 papers · 587 · h-index 11

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Multiple Myeloma Research and Treatments 4
    • Hematopoietic Stem Cell Transplantation 2
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3

Roger Gooding

17 papers receiving 570 citations

Peers

Roger Gooding
Comparison fields: 5 of 71
  • Hematology 143
  • Immunology 163
  • Oncology 157
  • Genetics 59
  • Biological Psychiatry 10
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Citations per field
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Citations per year

Countries citing papers authored by Roger Gooding

Since Specialization
Citations

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

Fields of papers citing papers by Roger Gooding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1992111
2 1993108
3 199565
4 199555
5
C-reactive protein and its cytokine mediators in intensive-care patients.
199339
6 199338
7 199736
8 199932
9 199031
10 199830
11 199020
12 198510
13
Comparison of interleukin-6 levels in the bone marrow of multiple myeloma patients with disease severity and clonogenicity in vitro.
19915
14 19943
15 19922
16 19971
17
An assessment of myeloid colony-forming-cell generation in liquid human bone marrow cultures: influence of accessory cells and cytokines IL-1 alpha, beta and IL-6.
19931

About Roger Gooding

Roger Gooding is a scholar working on Hematology, Immunology, Molecular Biology, Epidemiology and Surgery, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (143 citations), Immunology (163 citations), Oncology (157 citations), Genetics (59 citations) and Biological Psychiatry (10 citations). Roger Gooding has collaborated with scholars based in United Kingdom, Germany and Mauritius. Frequent co-authors include P G Riches, Anthony W. Rowbottom, Barbara C. Millar, E Heyderman, Xin Han, Adrian F. Bristow, J R Hobbs, D Samson, M. Y. Gordon and Jane F. Apperley. Their work appears in journals such as British Journal of Haematology, Cytokine, Biochemical Society Transactions, Clinical Chemistry and Gynecologic Oncology.

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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