D. Maas

39 papers receiving 389 citations

Peers

D. Maas
Comparison fields: 5 of 64
  • Parasitology 135
  • Pathology and Forensic Medicine 173
  • Hematology 78
  • Hepatology 37
  • Biochemistry 19
Replace John C. McDonald with:
John C. McDonald United States
P.J. Weiller France
Ana L.C. Martinelli Brazil
Peter McKenzie Australia
Ian Gourley United States
M Yebra Spain
Nancy Bunin United States
Beata Wolska‐Kuśnierz Poland
S Fujimoto Japan
Karen James United States
D. Maas relative to John C. McDonald United States John C. McDonald's profile →
Citations per field
00.5×5.2×
John C. McDonald · 1×
Citations per year

Countries citing papers authored by D. Maas

Since Specialization
Citations

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

Fields of papers citing papers by D. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996193
2 198547
3 197340
4 197525
5 198415
6 198612
7 199911
8 197511
9
[Autoimmune hemolytic anemia in ulcerative colitis. Report on 7 cases, possible treatment and review of the literature].
198510
10 19839
11 19847
12 19877
13 19866
14 19686
15 19694
16 19723
17 19873
18 20133
19 19793
20 19832

About D. Maas

D. Maas is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Genetics and Genetics, having authored 42 papers that have together received 441 indexed citations. Recurring topics across this work include Blood groups and transfusion (10 papers), Reproductive Biology and Fertility (8 papers), Systemic Lupus Erythematosus Research (5 papers), Blood disorders and treatments (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Parasitology (135 citations), Pathology and Forensic Medicine (173 citations), Hematology (78 citations), Hepatology (37 citations) and Biochemistry (19 citations). D. Maas has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Charles G. Gauci, H. Schubothe, Marshall W. Lightowlers, John R. Young, S.B. Lawrence, D.D. Heath, M.J. Ralston, Simon Panzer, C. Mueller‐Eckhardt and V. Kiefel. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Obstetrics & Gynecology and Reproductive Biology, Fertility and Sterility, British Journal of Haematology and JAMA Dermatology.

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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