G.A. Rawlins

400 citations
17 papers · 316 · h-index 9

Impact in

Papers in

    • Monoclonal and Polyclonal Antibodies Research 9
    • Radiopharmaceutical Chemistry and Applications 6
    • Protein purification and stability 2
    • Glycosylation and Glycoproteins Research 2
    • Advanced Biosensing Techniques and Applications 2

G.A. Rawlins

17 papers receiving 260 citations

Peers

G.A. Rawlins
Comparison fields: 5 of 61
  • Radiology, Nuclear Medicine and Imaging 149
  • Pulmonary and Respiratory Medicine 65
  • Oncology 55
  • Immunology and Allergy 10
  • Public Health, Environmental and Occupational Health 43
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Countries citing papers authored by G.A. Rawlins

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Rawlins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.A. Rawlins. 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 G.A. Rawlins. The network helps show where G.A. Rawlins may publish in the future.

Co-authors

The 18 scholars most cited alongside G.A. Rawlins, 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 G.A. Rawlins Line = papers co-authored together G.A. Rawlins links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 195358
2 198651
3 197148
4 198128
5 198526
6 198116
7 198415
8 195513
9 197612
10 19838
11 19628
12 19777
13 19686
14 19866
15
Dynamics of monoclonal antibody distribution and prolonged tumour localisation in nude mice bearing a human CEA-producing colon carcinoma xenograft.
19866
16 19844
17 19854

About G.A. Rawlins

G.A. Rawlins is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Immunology, having authored 17 papers that have together received 316 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Peptidase Inhibition and Analysis (3 papers), Protein purification and stability (2 papers), Glycosylation and Glycoproteins Research (2 papers), Gestational Trophoblastic Disease Studies (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (149 citations), Pulmonary and Respiratory Medicine (65 citations), Oncology (55 citations), Immunology and Allergy (10 citations) and Public Health, Environmental and Occupational Health (43 citations). G.A. Rawlins has collaborated with scholars based in United Kingdom. Frequent co-authors include G.T. Rogers, K. D. Bagshawe, K D Bagshawe, Paul Harwood, SylviaD. Lawler, Malcolm C. Pike, G Boxer, Joan A. Boden, R. Barbara Pedley and A Kardana. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Pathology, The Lancet, International Journal of Cancer and PubMed.

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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