D M Goodall

596 total citations
9 papers, 406 citations indexed

About

D M Goodall is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, D M Goodall has authored 9 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in D M Goodall's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). D M Goodall is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). D M Goodall collaborates with scholars based in United Kingdom, Japan and Switzerland. D M Goodall's co-authors include R Jefferis, Rizgar A. Mageed, Caroline O. S. Savage, Koichi Kato, Mark J.G. Holland, Naoki Takahashi, Hirokazu Yagi, Elizabeth Torr, David H. Gardner and Andrew Devitt and has published in prestigious journals such as Cell Death and Differentiation, Biochimica et Biophysica Acta (BBA) - General Subjects and Journal of Clinical Pathology.

In The Last Decade

D M Goodall

9 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D M Goodall United Kingdom	7	259	238	195	56	40	9	406
Kaitlyn Rogers United States	6	336 1.3×	153 0.6×	161 0.8×	43 0.8×	20 0.5×	11	482
Diane Amox United States	8	171 0.7×	142 0.6×	121 0.6×	33 0.6×	22 0.6×	9	414
Christophe Arnoult France	10	158 0.6×	199 0.8×	139 0.7×	43 0.8×	52 1.3×	15	420
Y Hamano Japan	5	109 0.4×	206 0.9×	74 0.4×	46 0.8×	50 1.3×	8	319
Christiane Charriaut France	7	84 0.3×	219 0.9×	40 0.2×	47 0.8×	58 1.4×	11	316
Franklin Mullinax United States	7	63 0.2×	72 0.3×	245 1.3×	53 0.9×	88 2.2×	10	400
A McClure United Kingdom	3	139 0.5×	123 0.5×	59 0.3×	97 1.7×	39 1.0×	4	362
Hitoshi Deguchi Japan	4	70 0.3×	148 0.6×	70 0.4×	22 0.4×	61 1.5×	5	328
Hannu Koho Sweden	10	122 0.5×	330 1.4×	106 0.5×	15 0.3×	10 0.3×	11	447
W. Hassfeld Austria	10	210 0.8×	182 0.8×	136 0.7×	22 0.4×	33 0.8×	14	563

Countries citing papers authored by D M Goodall

Since Specialization

Citations

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

Fields of papers citing papers by D M Goodall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D M Goodall. 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 D M Goodall. The network helps show where D M Goodall may publish in the future.

Co-authorship network of co-authors of D M Goodall

This figure shows the co-authorship network connecting the top 25 collaborators of D M Goodall. A scholar is included among the top collaborators of D M Goodall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D M Goodall. D M Goodall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Torr, Elizabeth, David H. Gardner, D M Goodall, et al.. (2011). Apoptotic cell-derived ICAM-3 promotes both macrophage chemoattraction to and tethering of apoptotic cells. Cell Death and Differentiation. 19(4). 671–679. 84 indexed citations

Holland, Mark J.G., Hirokazu Yagi, Naoki Takahashi, et al.. (2005). Differential glycosylation of polyclonal IgG, IgG-Fc and IgG-Fab isolated from the sera of patients with ANCA-associated systemic vasculitis. Biochimica et Biophysica Acta (BBA) - General Subjects. 1760(4). 669–677. 142 indexed citations

Kumararatne, D, et al.. (1994). Two enzyme linked immunosorbent assays for detecting antibodies against meningococcal capsular polysaccharides A and C.. Journal of Clinical Pathology. 47(5). 405–410. 9 indexed citations

Jefferis, Roy, Charles B. Reimer, F Skvaril, et al.. (1992). Evaluation of monoclonal antibodies having specificity for human IgG subclasses: results of the 2nd IUIS/WHO collaborative study. Immunology Letters. 31(2). 143–168. 36 indexed citations

Nelson, Paul N., S.M. Fletcher, Daniel J. MacDonald, D M Goodall, & Roy Jefferis. (1991). Asasy restriction profiles of three monoclonal antibodies recognizing the G3m(u) allotype. Journal of Immunological Methods. 138(1). 57–64. 14 indexed citations

Mageed, Rizgar A., D M Goodall, & R Jefferis. (1990). A highly conserved conformational idiotope on human IgM rheumatoid factor paraproteins of the Wa cross-reactive idiotype family defined by a monoclonal antibody. Rheumatology International. 10(2). 57–63. 23 indexed citations

Walker, M R, P Bird, David Ulaeto, et al.. (1986). Immunogenic and antigenic epitopes of immunoglobulins. XIV. Antigenic variants of IgG4 proteins revealed with monoclonal antibodies.. PubMed. 57(1). 25–8. 4 indexed citations

Mageed, Rizgar A., et al.. (1986). Immunogenic and antigenic epitopes of immunoglobulins XVII-monoclonal antibodies reactive with common and restricted idiotopes to the heavy chain of human rheumatoid factors. Rheumatology International. 6(4). 179–183. 88 indexed citations

Goodall, D M, G. I. Pardoe, & Jill Gregory. (1971). Lymphocyte surface components. I. Stimulation of enzyme-treated rabbit lymphocytes by non-specific mitogens.. PubMed. 9(5). 645–55. 6 indexed citations

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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