Lisa M. Neff

2.0k total citations · 1 hit paper
39 papers, 830 citations indexed

About

Lisa M. Neff is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Lisa M. Neff has authored 39 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 9 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Pharmacology. Recurrent topics in Lisa M. Neff's work include Pharmacology and Obesity Treatment (8 papers), Diet and metabolism studies (8 papers) and Ovarian function and disorders (6 papers). Lisa M. Neff is often cited by papers focused on Pharmacology and Obesity Treatment (8 papers), Diet and metabolism studies (8 papers) and Ovarian function and disorders (6 papers). Lisa M. Neff collaborates with scholars based in United States, Israel and United Kingdom. Lisa M. Neff's co-authors include Peter R. Holt, Swaroop Pendyala, Mayte Suárez‐Fariñas, Erica E. Marsh, Bess Dawson‐Hughes, Ellen M. Vickery, Erin S. LeBlanc, Myrlene A. Staten, William C. Knowler and Jean Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Diabetes Care.

In The Last Decade

Lisa M. Neff

35 papers receiving 806 citations

Hit Papers

Nutritional consideration... 2024 2026 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nutritional considerations with antiobesity medications
    2024 54 citations Jaime P. Almandoz, Thomas A. Wadden et al. Obesity profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lisa M. Neff United States 14 255 231 142 140 126 39 830
Diana Jędrzejuk Poland 18 224 0.9× 246 1.1× 78 0.5× 138 1.0× 166 1.3× 79 955
Gábor Winkler Hungary 18 262 1.0× 326 1.4× 80 0.6× 115 0.8× 351 2.8× 73 1.2k
Jason A. Harmer Australia 20 201 0.8× 186 0.8× 163 1.1× 191 1.4× 99 0.8× 33 1.2k
Ying Qi China 18 171 0.7× 182 0.8× 152 1.1× 241 1.7× 149 1.2× 45 1.3k
Bárbara Ángel Chile 20 444 1.7× 141 0.6× 87 0.6× 216 1.5× 75 0.6× 47 1.0k
Akiko Nogi Japan 9 210 0.8× 289 1.3× 89 0.6× 184 1.3× 198 1.6× 20 921
Lluís Forga Spain 14 292 1.1× 216 0.9× 123 0.9× 229 1.6× 172 1.4× 28 874
Eliana Aguiar Petri Nahás Brazil 21 414 1.6× 276 1.2× 142 1.0× 282 2.0× 128 1.0× 102 1.4k
Blandine Tramunt France 10 247 1.0× 282 1.2× 49 0.3× 97 0.7× 218 1.7× 15 861
Małgorzata Wójcik Poland 14 160 0.6× 229 1.0× 60 0.4× 204 1.5× 120 1.0× 96 924

Countries citing papers authored by Lisa M. Neff

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Neff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa M. Neff

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Neff. A scholar is included among the top collaborators of Lisa M. Neff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa M. Neff. Lisa M. Neff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Almandoz, Jaime P., Thomas A. Wadden, Colleen Tewksbury, et al.. (2024). Nutritional considerations with antiobesity medications. Obesity. 32(9). 1613–1631. 54 indexed citations breakdown →
5.
Hankosky, Emily R., Hui Wang, Lisa M. Neff, et al.. (2023). Tirzepatide reduces the predicted risk of developing type 2 diabetes in people with obesity or overweight: Post hoc analysis of the SURMOUNT ‐1 trial. Diabetes Obesity and Metabolism. 25(12). 3748–3756. 25 indexed citations
6.
Kashyap, Sangeeta R., Cyrus Desouza, Vanita R. Aroda, et al.. (2023). Glycemic and metabolic sub-classification of prediabetes and risk factors for cardiovascular disease in the D2d cohort. SHILAP Revista de lepidopterología. 15. 100525–100525. 4 indexed citations
7.
Pedersen, Sue D., et al.. (2023). SAT660 Predictors Of Achieving Body Weight Reduction ≥20% With Tirzepatide In People With Overweight Or Obesity In SURMOUNT-1. Journal of the Endocrine Society. 7(Supplement_1). 5 indexed citations
8.
Torchen, Laura, et al.. (2022). RF12 | PSUN125 Lymphoma in Congenital Leptin Deficiency: Comorbidity or Adverse Effect?. Journal of the Endocrine Society. 6(Supplement_1). A31–A31. 1 indexed citations
9.
Schon, Samantha B., Kun Yang, Jiang Li, et al.. (2022). Obesity-related alterations in protein expression in human follicular fluid from women undergoing in vitro fertilization. PubMed. 3(4). 331–339. 5 indexed citations
10.
Giuliani, Emma, Samantha B. Schon, Kun Yang, et al.. (2022). Obesity-induced follicular phase endometrial proteome dysregulation in a well-phenotyped population. PubMed. 3(4). 367–375. 3 indexed citations
11.
Torchen, Laura, et al.. (2022). RF24 | PSUN127 Congenital Leptin Deficiency: Metabolic, Reproductive, and Psychological Impacts of Therapy. Journal of the Endocrine Society. 6(Supplement_1). A34–A35. 1 indexed citations
12.
Torchen, Laura, et al.. (2020). OR33-03 Congenital Leptin Deficiency: Clinical Insights from the First Reported US Cases. Journal of the Endocrine Society. 4(Supplement_1). 2 indexed citations
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Deng, Jie, et al.. (2020). Activated brown adipose tissue and its relationship to adiposity and metabolic markers: an exploratory study. Adipocyte. 9(1). 87–95. 13 indexed citations
14.
Horn, Linda Van, Alan M. Peaceman, Mary Kwasny, et al.. (2018). Dietary Approaches to Stop Hypertension Diet and Activity to Limit Gestational Weight: Maternal Offspring Metabolics Family Intervention Trial, a Technology Enhanced Randomized Trial. American Journal of Preventive Medicine. 55(5). 603–614. 52 indexed citations
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Cardozo, Eden R., Tanaka Dune, Lisa M. Neff, et al.. (2012). Knowledge of Obesity and Its Impact on Reproductive Health Outcomes Among Urban Women. Journal of Community Health. 38(2). 261–267. 22 indexed citations
17.
Neff, Lisa M., Susanna Cunningham–Rundles, Cynthia E. Seidman, et al.. (2010). Algal Docosahexaenoic Acid Affects Plasma Lipoprotein Particle Size Distribution in Overweight and Obese Adults. Journal of Nutrition. 141(2). 207–213. 78 indexed citations
18.
Neff, Lisa M.. (2010). Emerging role of GLP-1 receptor agonists in the treatment of obesity. Diabetes Metabolic Syndrome and Obesity. Volume 3. 263–273. 14 indexed citations
19.
Neff, Lisa M. & Louis J. Aronne. (2007). Pharmacotherapy for obesity. Current Atherosclerosis Reports. 9(6). 454–462. 10 indexed citations
20.
Neff, Lisa M.. (2004). Evidence-based dietary recommendations for patients with type 2 diabetes mellitus.. PubMed. 6(2). 51–61. 10 indexed citations

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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