Derek Maas

37 papers receiving 399 citations

Peers

Derek Maas
Comparison fields: 5 of 45
  • Pathology and Forensic Medicine 175
  • Hematology 65
  • Biochemistry 30
  • Hepatology 37
  • Rheumatology 49
Replace VOLKER LENHARD with:
VOLKER LENHARD Germany
Jacqueline Chabod France
Evert H. Van Elven Netherlands
Bertand Godeau France
Ahmet Tezel Türkiye
Theresa L. Geurs United States
Richard J Kimber Australia
Thomas Jarrold United States
H.C. Kim South Korea
Matthieu Ponsoye France
Derek Maas relative to VOLKER LENHARD Germany VOLKER LENHARD's profile →
Citations per field
00.5×5×12.3×
VOLKER LENHARD · 1×
Citations per year

Countries citing papers authored by Derek Maas

Since Specialization
Citations

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

Fields of papers citing papers by Derek Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996197
2 198545
3 197340
4 197525
5 198415
6 198612
7 197511
8 199911
9 19839
10
[Autoimmune hemolytic anemia in ulcerative colitis. Report on 7 cases, possible treatment and review of the literature].
19858
11 19847
12 19877
13 19686
14 19866
15 19694
16 19723
17 19793
18 19873
19 20133
20 20253

About Derek Maas

Derek Maas is a scholar working on Hematology, Rheumatology, Urology, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 445 indexed citations. Recurring topics across this work include Blood groups and transfusion (8 papers), Systemic Lupus Erythematosus Research (8 papers), Hair Growth and Disorders (7 papers), Reproductive Biology and Fertility (5 papers), Reproductive Health and Technologies (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Sperm and Testicular Function (3 papers) and Blood transfusion and management (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (175 citations), Hematology (65 citations), Biochemistry (30 citations), Hepatology (37 citations) and Rheumatology (49 citations). Derek Maas has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include M.J. Ralston, Marshall W. Lightowlers, S.B. Lawrence, Charles G. Gauci, D.D. Heath, Helmut Schubothe, H. Metzger, C. Mueller‐Eckhardt, VOLKER KIEFEL and Simon Panzer. Their work appears in journals such as Journal of Molecular Medicine, JAMA Dermatology, Fertility and Sterility, European Journal of Obstetrics & Gynecology and Reproductive Biology and Journal of the American Academy of 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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