Linda J. Risler

29 papers receiving 1.4k citations

Peers

Linda J. Risler
Comparison fields: 5 of 111
  • Geriatrics and Gerontology 120
  • Obstetrics and Gynecology 146
  • Transplantation 50
  • Hematology 212
  • Physiology 75
Replace Yasuhiko Nakamura with:
Yasuhiko Nakamura Japan
Omar Qureshi United Kingdom
James D. Madden United States
Katsuaki Tanaka Japan
Karl R. Hansen United States
David Prentice Australia
T. Yamamoto Japan
Gabriele Baier‐Bitterlich Austria
Henk F. Kauffman Netherlands
Robert Koch Austria
Linda J. Risler relative to Yasuhiko Nakamura Japan Yasuhiko Nakamura's profile →
Citations per field
00.5×10×20×30×42.4×
Yasuhiko Nakamura · 1×
Citations per year

Countries citing papers authored by Linda J. Risler

Since Specialization
Citations

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

Fields of papers citing papers by Linda J. Risler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda J. Risler. 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 Linda J. Risler. The network helps show where Linda J. Risler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017195
2 2010151
3 1988147
4 1998102
5 200297
6 200382
7 201581
8
Age-dependent tetrahydrothiophenium ion formation in young children and adults receiving high-dose busulfan.
199776
9 201552
10 201049
11 200543
12 201243
13 200842
14 200342
15 200940
16 201734
17 201432
18 200029
19 201725
20 201421

About Linda J. Risler

Linda J. Risler is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Pharmacology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pregnancy and Medication Impact (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), Gestational Diabetes Research and Management (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Pain Management and Opioid Use (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Pregnancy and preeclampsia studies (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (120 citations), Obstetrics and Gynecology (146 citations), Transplantation (50 citations), Hematology (212 citations) and Physiology (75 citations). Linda J. Risler has collaborated with scholars based in United States, Switzerland and South Africa. Frequent co-authors include Danny D. Shen, John T. Slattery, Robert A. Steiner, Brian Phillips, Mary F. Hébert, Jeannine S. McCune, Thomas R. Easterling, Laura M. Shireman, Sara Eyal and Gail D. Anderson. Their work appears in journals such as Drug Metabolism and Disposition, The Journal of Clinical Pharmacology, Biology of Blood and Marrow Transplantation, Anesthesiology and Pharmacological Research.

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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