Gendie E. Lash

7.5k citations
143 papers · 5.6k indexed · h-index 41

Gendie E. Lash

141 papers receiving 5.5k citations

Peers

Gendie E. Lash
Comparison fields: 5 of 117
  • Obstetrics and Gynecology 3.3k
  • Immunology 3.6k
  • Reproductive Medicine 1.4k
  • Pediatrics, Perinatology and Child Health 1.2k
  • Public Health, Environmental and Occupational Health 1.1k
Replace Natalie J. Hannan with:
Natalie J. Hannan Australia
Akitoshi Nakashima Japan
Caroline Dunk Canada
Evdokia Dimitriadis Australia
Juan C. Irwin United States
Riitta Koistinen Finland
Tasuku Harada Japan
Eeva‐Marja Rutanen Finland
H. Bohn Germany
Hideharu Kanzaki Japan
Gendie E. Lash relative to Natalie J. Hannan Australia Natalie J. Hannan's profile →
Citations per field
00.5×1.5×
Natalie J. Hannan · 1×
Citations per year

Countries citing papers authored by Gendie E. Lash

Since Specialization
Citations

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

Fields of papers citing papers by Gendie E. Lash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gendie E. Lash. 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 Gendie E. Lash. The network helps show where Gendie E. Lash may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20234
4 202310
5 20233
6 202314
7 20209
8 202029
9 201916
10 20159
11 201440
12 201041
13 2010110
14 200917
15
Prednisolone treatment reduces endometrial angiogenic growth factor expression and vessel muscularisation in women with recurrent miscarriage
20081
16 200816
17 2008115
18 200646
19 200345
20 200316

About Gendie E. Lash

Gendie E. Lash is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Immunology, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 143 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (72 papers), Reproductive System and Pregnancy (69 papers), Endometriosis Research and Treatment (31 papers), Birth, Development, and Health (17 papers), Maternal and fetal healthcare (15 papers), Angiogenesis and VEGF in Cancer (11 papers), Uterine Myomas and Treatments (10 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). The work is most often cited by research in Obstetrics and Gynecology (3.3k citations), Immunology (3.6k citations), Reproductive Medicine (1.4k citations), Pediatrics, Perinatology and Child Health (1.2k citations) and Public Health, Environmental and Occupational Health (1.1k citations). Gendie E. Lash has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Judith N. Bulmer, Stephen C. Robson, Barbara A. Innes, R.F. Searle, Paula Williams, H Otun, Philip N. Baker, Fen Ning, Charles H. Graham and Huishu Liu. Their work appears in journals such as Placenta, Human Reproduction, Journal of Reproductive Immunology, The FASEB Journal and Journal of Assisted Reproduction and Genetics.

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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