M. Arny

1.7k citations
17 papers · 1.2k indexed · 1 hit paper · h-index 11

M. Arny

17 papers receiving 1.1k citations

Hit Papers

Human umbilical cord blood as a potential source of trans...8441989202620012013250500750

Peers

M. Arny
Comparison fields: 5 of 86
  • Hematology 541
  • Genetics 416
  • Reproductive Medicine 232
  • Immunology 242
  • Pediatrics, Perinatology and Child Health 209
Replace Karin Tiedemann with:
Karin Tiedemann Australia
B.‐L. Hsi France
Miharu Yabe Japan
S.J. Fisher United States
Alasdair McWhinnie United Kingdom
Grant Prentice United Kingdom
Andrea Jarisch Germany
H. Baurmann Germany
Peter Bader Germany
Dmitry Yarilin United States
M. Arny relative to Karin Tiedemann Australia Karin Tiedemann's profile →
Citations per field
00.5×5.2×
Karin Tiedemann · 1×
Citations per year

Countries citing papers authored by M. Arny

Since Specialization
Citations

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

Fields of papers citing papers by M. Arny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside M. Arny, 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 M. Arny Line = papers co-authored together M. Arny links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201427
2 201047
3 20101
4 200811
5 20073
6 200489
7 200217
8 20021
9 198912
10
Human umbilical cord blood as a potential source of transplantable hematopoietic stem/progenitor cells.breakdown →
1989844
11 198738
12 19871
13 198621
14 198645
15 19848
16 198325
17 19746

About M. Arny

M. Arny is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ovarian function and disorders (9 papers), Reproductive Biology and Fertility (7 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Reproductive Health and Technologies (5 papers), Prenatal Screening and Diagnostics (2 papers), Glycosylation and Glycoproteins Research (1 paper), Chemical Synthesis and Analysis (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Hematology (541 citations), Genetics (416 citations) and Reproductive Medicine (232 citations). M. Arny has collaborated with scholars based in United States. Frequent co-authors include Judith Bard, Anne Thomas, Edward A. Boyse, English D, H E Broxmeyer, Sandra K. Cooper, John Quagliarello, Daniel R. Grow, Lila E. Nachtigall and Alexander Knee. Their work appears in journals such as Fertility and Sterility, Journal of Assisted Reproduction and Genetics, Seminars in Reproductive Medicine, Cellular Immunology and Proceedings of the National Academy of Sciences.

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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