SD Marks

17 papers receiving 302 citations

Peers

SD Marks
Comparison fields: 5 of 44
  • Transplantation 94
  • Nephrology 117
  • Rheumatology 149
  • Immunology 135
  • Hematology 42
Replace L. Nakopoulou with:
L. Nakopoulou Greece
Seymour Ae Australia
Valeriya Zarkhin United States
Velta A. Lazda United States
Michela Ferro Italy
José Rafael Cabrera Spain
Montserrat Díaz Spain
Masaya Igarashi Japan
I Damilano Italy
Woon Leung Ng China
SD Marks relative to L. Nakopoulou Greece L. Nakopoulou's profile →
Citations per field
00.5×3.9×
L. Nakopoulou · 1×
Citations per year

Countries citing papers authored by SD Marks

Since Specialization
Citations

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

Fields of papers citing papers by SD Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201462
2 200760
3 201159
4 200851
5 200931
6 201017
7 20089
8 20146
9 20114
10
Human triclonal anti-IgG gammopathy. III. Determination of the clonal persistence of the IgM autoantibody for a four and one-half year period.
19784
11
The Great Ormond Street Colour Handbook of Paediatrics and Child Health
20062
12
"Dense B-cell infiltrates in paediatric renal transplant biopsies are predictive of renal allograft loss"
20061
13 20121
14 20101
15 20181
16 20111
17 20121
18
Choroby wieku dzieciecego
20100

About SD Marks

SD Marks is a scholar working on Nephrology, Transplantation, Immunology, Rheumatology and Surgery, having authored 18 papers that have together received 311 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Systemic Lupus Erythematosus Research (5 papers), Blood groups and transfusion (3 papers), Complement system in diseases (3 papers), Transplantation: Methods and Outcomes (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Transplantation (94 citations), Nephrology (117 citations), Rheumatology (149 citations), Immunology (135 citations) and Hematology (42 citations). SD Marks has collaborated with scholars based in United Kingdom, Greece and Belarus. Frequent co-authors include Kjell Tullus, Neil J. Sebire, Susan Williams, Nizam Mamode, R. S. Vaughan, MW Beresford, Rajkapoor Balasubramanian, Olivia Shaw, Clarissa Pilkington and George Michaelides. Their work appears in journals such as Archives of Disease in Childhood, Nephrology Dialysis Transplantation, American Journal of Transplantation, Pediatric Transplantation and Annals of the Rheumatic Diseases.

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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