Geffen Lass

513 citations
14 papers · 285 · h-index 9

Impact in

Papers in

    • Hypothalamic control of reproductive hormones 8
    • Ovarian function and disorders 4
    • Reproductive Health and Technologies 3
    • Plant Reproductive Biology 3

Geffen Lass

14 papers receiving 277 citations

Peers

Geffen Lass
Comparison fields: 5 of 65
  • Reproductive Medicine 158
  • Behavioral Neuroscience 29
  • Endocrine and Autonomic Systems 36
  • Biochemistry 31
  • Social Psychology 82
Replace Melanie Prescott with:
Melanie Prescott New Zealand
Inmaculada Velasco Spain
Selva L. Luna Chile
Carole Lewis United States
Bethany N. Karman United States
Kiyohito Yano Japan
María E. Ayala Mexico
Porfirio Gómora‐Arrati Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Geffen Lass

Since Specialization
Citations

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

Fields of papers citing papers by Geffen Lass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201873
2
EFFECTS OF A COMBINATION OF BETA CAROTENE AND VITAMIN A ON LUNG CANCER AND CARDIOVASCULAR DISEASE
201456
3 201941
4 202123
5 201823
6 201920
7 202210
8 202010
9 20229
10 20198
11 20227
12 20213
13 20211
14 20211

About Geffen Lass

Geffen Lass is a scholar working on Reproductive Medicine, Molecular Biology, Social Psychology, Pediatrics, Perinatology and Child Health and Behavioral Neuroscience, having authored 14 papers that have together received 285 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (8 papers), Neuroendocrine regulation and behavior (4 papers), Ovarian function and disorders (4 papers), Reproductive Health and Technologies (3 papers), Plant Reproductive Biology (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Demographic Trends and Gender Preferences (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Reproductive Medicine (158 citations), Behavioral Neuroscience (29 citations), Endocrine and Autonomic Systems (36 citations), Biochemistry (31 citations) and Social Psychology (82 citations). Geffen Lass has collaborated with scholars based in United Kingdom, China and Nigeria. Frequent co-authors include Stafford L. Lightman, William H Colledge, Xiao Feng Li, Xiaofeng Li, Kirti Shetty, Daniel Adekunbi, Margaritis Voliotis, Krasimira Tsaneva‐Atanasova, Amir Lass and Xiaofeng Li. Their work appears in journals such as Journal of Neuroendocrinology, Frontiers in Endocrinology, Endocrinology, Journal of Medical Economics and Human Reproduction.

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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