Nancy M. Lepak

1.5k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Nancy M. Lepak is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Nancy M. Lepak has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Immunology. Recurrent topics in Nancy M. Lepak's work include Adipose Tissue and Metabolism (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Nancy M. Lepak is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Nancy M. Lepak collaborates with scholars based in United States. Nancy M. Lepak's co-authors include Susan L. Swain, Ginette Serrero, Debra K. Duso, David P. Harris, Lawrence L. Johnson, Sheri M. Eaton, Laura Haynes, Peter C. Sayles, Frances E. Lund and Dawn M. Jelley‐Gibbs and has published in prestigious journals such as Journal of Biological Chemistry, Nature Immunology and The Journal of Immunology.

In The Last Decade

Nancy M. Lepak

18 papers receiving 1.2k citations

Hit Papers

Reciprocal regulation of polarized cytokine production by... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy M. Lepak United States 12 779 222 188 146 92 18 1.2k
Carla Eponina Carvalho-Pinto Brazil 19 873 1.1× 225 1.0× 158 0.8× 113 0.8× 170 1.8× 33 1.4k
Eduardo Martínez-Soria Switzerland 15 802 1.0× 238 1.1× 289 1.5× 136 0.9× 197 2.1× 21 1.3k
Kim Waggie United States 10 865 1.1× 229 1.0× 139 0.7× 189 1.3× 196 2.1× 12 1.5k
A Urbanski Austria 8 600 0.8× 228 1.0× 131 0.7× 78 0.5× 186 2.0× 12 1.2k
Christine Wallon France 23 777 1.0× 195 0.9× 156 0.8× 72 0.5× 105 1.1× 38 1.4k
S. Kishimoto Japan 19 575 0.7× 349 1.6× 236 1.3× 231 1.6× 170 1.8× 61 1.5k
R H Lin Taiwan 12 535 0.7× 235 1.1× 83 0.4× 149 1.0× 154 1.7× 20 1.2k
Pascal Leplatois France 9 528 0.7× 286 1.3× 74 0.4× 150 1.0× 119 1.3× 11 963
Wook Lew South Korea 10 950 1.2× 341 1.5× 168 0.9× 186 1.3× 356 3.9× 31 1.6k
Nadia Passini Italy 11 1.1k 1.4× 186 0.8× 127 0.7× 156 1.1× 257 2.8× 19 1.4k

Countries citing papers authored by Nancy M. Lepak

Since Specialization
Citations

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

Fields of papers citing papers by Nancy M. Lepak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy M. Lepak

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy M. Lepak. A scholar is included among the top collaborators of Nancy M. Lepak 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 Nancy M. Lepak. Nancy M. Lepak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Agrewala, Javed N., Deborah M. Brown, Nancy M. Lepak, et al.. (2006). Unique Ability of Activated CD4+ T Cells but Not Rested Effectors to Migrate to Non-lymphoid Sites in the Absence of Inflammation. Journal of Biological Chemistry. 282(9). 6106–6115. 27 indexed citations
2.
Lepak, Nancy M., et al.. (2002). Induction of CD4 T Cell Changes in Murine AIDS Is Dependent on Costimulation and Involves a Dysregulation of Homeostasis. The Journal of Immunology. 169(2). 722–731. 5 indexed citations
3.
Hu, Hui, Gail E. Huston, Debra K. Duso, et al.. (2001). CD4+ T cell effectors can become memory cells with high efficiency and without further division. Nature Immunology. 2(8). 705–710. 157 indexed citations
4.
Jelley‐Gibbs, Dawn M., et al.. (2000). Two Distinct Stages in the Transition from Naive CD4 T Cells to Effectors, Early Antigen-Dependent and Late Cytokine-Driven Expansion and Differentiation. The Journal of Immunology. 165(9). 5017–5026. 125 indexed citations
5.
Harris, David P., Laura Haynes, Peter C. Sayles, et al.. (2000). Reciprocal regulation of polarized cytokine production by effector B and T cells. Nature Immunology. 1(6). 475–482. 660 indexed citations breakdown →
6.
Serrero, Ginette & Nancy M. Lepak. (1999). Insulin but not IGF-I is required for the maintenance of the adipose phenotype in the adipogenic cell line 1246. In Vitro Cellular & Developmental Biology - Animal. 35(10). 642–646. 5 indexed citations
7.
Serrero, Ginette & Nancy M. Lepak. (1997). Prostaglandin F2αReceptor (FP Receptor) Agonists Are Potent Adipose Differentiation Inhibitors for Primary Culture of Adipocyte Precursors in Defined Medium. Biochemical and Biophysical Research Communications. 233(1). 200–202. 62 indexed citations
8.
Serrero, Ginette & Nancy M. Lepak. (1996). Endocrine and paracrine negative regulators of adipose differentiation.. PubMed. 20 Suppl 3. S58–64. 30 indexed citations
9.
Serrero, Ginette & Nancy M. Lepak. (1995). Prostaglandin F2α Inhibits Epidermal Growth Factor Binding to Cellular Receptors on Adipocyte Precursors in Primary Culture. Biochemical and Biophysical Research Communications. 212(3). 1125–1132. 6 indexed citations
10.
Lepak, Nancy M. & Ginette Serrero. (1995). Prostaglandin F2 alpha stimulates transforming growth factor-alpha expression in adipocyte precursors.. Endocrinology. 136(8). 3222–3229. 16 indexed citations
11.
Lepak, Nancy M.. (1995). Prostaglandin F2 alpha stimulates transforming growth factor-alpha expression in adipocyte precursors. Endocrinology. 136(8). 3222–3229. 6 indexed citations
12.
Lepak, Nancy M. & Ginette Serrero. (1993). Inhibition of adipose differentiation by 9α, 11β-prostaglandin F2α. Prostaglandins. 46(6). 511–517. 20 indexed citations
13.
Serrero, Ginette, Nancy M. Lepak, Jun Hayashi, & Stephen Goodrich. (1993). Impaired epidermal growth factor production in genetically obese ob/ob mice. American Journal of Physiology-Endocrinology and Metabolism. 264(5). E800–E803. 18 indexed citations
14.
Serrero, Ginette, Nancy M. Lepak, & Stephen Goodrich. (1992). Prostaglandin F2α inhibits the differentiation of adipocyte precursors in primary culture. Biochemical and Biophysical Research Communications. 183(2). 438–442. 38 indexed citations
15.
16.
Serrero, Ginette, Nancy M. Lepak, Jun Hayashi, & Dominic Eisinger. (1992). Effect of testosterone on the growth properties and on epidermal growth factor receptor expression in the teratoma-derived tumorigenic cell line 1246-3A.. PubMed. 52(15). 4242–7. 7 indexed citations
17.
Serrero, Ginette, et al.. (1991). Decreased transforming growth factor‐(β) response and binding in insulin‐independent teratoma‐derived cell lines with increased tumorigenic properties. Journal of Cellular Physiology. 149(3). 503–511. 16 indexed citations
18.
Smith, Joseph Donald & Nancy M. Lepak. (1982). Purification and characterization of a phosphonic acid-containing glycoprotein from the cell membranes of Tetrahymena. Archives of Biochemistry and Biophysics. 213(2). 565–572. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026