L. Elit

1.6k citations
57 papers · 1.2k · h-index 19

Impact in

Papers in

L. Elit

53 papers receiving 1.2k citations

Peers

L. Elit
Comparison fields: 5 of 79
  • Reproductive Medicine 348
  • Obstetrics and Gynecology 280
  • Oncology 240
  • Genetics 159
  • Pathology and Forensic Medicine 81
Replace Katina Robison with:
Katina Robison United States
William J. Lowery United States
Eva Chalas United States
Eloise Chapman‐Davis United States
Matthew Schlumbrecht United States
Tamar Perri Israel
C. W. E. Redman United Kingdom
Melissa K. Frey United States
P. Hanjani United States
Francesco Sopracordevole Italy
L. Elit relative to Katina Robison United States Katina Robison's profile →
Citations per field
00.5×1.5×1.8×
Katina Robison · 1×
Citations per year

Countries citing papers authored by L. Elit

Since Specialization
Citations

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

Fields of papers citing papers by L. Elit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999102
2 2001101
3 201399
4 201389
5 201179
6 200679
7 200276
8 201062
9
Delayed delivery of second twin: report of four cases and review of the literature.
199259
10 200844
11 198943
12 199733
13 201133
14 200931
15 200327
16 200625
17 200725
18 199424
19 200419
20 200917

About L. Elit

L. Elit is a scholar working on Obstetrics and Gynecology, Oncology, Reproductive Medicine, Molecular Biology and Genetics, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (14 papers), Ovarian cancer diagnosis and treatment (9 papers), BRCA gene mutations in cancer (6 papers), Global Cancer Incidence and Screening (4 papers), Cancer Risks and Factors (4 papers), Cervical Cancer and HPV Research (3 papers), Gestational Trophoblastic Disease Studies (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Reproductive Medicine (348 citations), Obstetrics and Gynecology (280 citations), Oncology (240 citations), Genetics (159 citations) and Pathology and Forensic Medicine (81 citations). L. Elit has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Steven A. Narod, Amit M. Oza, Mary Jane Esplen, Gregory R. Pond, Hsien Seow, Mark N. Levine, Alan Bocking, Cynthia Kenyon, Renato Natale and Kate Butler. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, International Journal of Gynecological Cancer, Familial Cancer and Psycho-Oncology.

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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