Richard Nuccitelli

766 total citations
8 papers, 651 citations indexed

About

Richard Nuccitelli is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Richard Nuccitelli has authored 8 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Reproductive Medicine. Recurrent topics in Richard Nuccitelli's work include Reproductive Biology and Fertility (4 papers), Sperm and Testicular Function (3 papers) and Planarian Biology and Electrostimulation (2 papers). Richard Nuccitelli is often cited by papers focused on Reproductive Biology and Fertility (4 papers), Sperm and Testicular Function (3 papers) and Planarian Biology and Electrostimulation (2 papers). Richard Nuccitelli collaborates with scholars based in United States, Germany and Japan. Richard Nuccitelli's co-authors include Tanya Smart, James E. Ferguson, Masatoshi Takeichi, D Sheridan, R. Rivkah Isseroff, Kenneth O. Turner, Stanley Meizel, H Wiley, Lee K. Opresko and Hans Gruler and has published in prestigious journals such as Developmental Biology, Journal of Investigative Dermatology and Experimental Cell Research.

In The Last Decade

Richard Nuccitelli

8 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Nuccitelli United States 8 358 278 202 129 101 8 651
Janice S. Bailey United States 10 409 1.1× 134 0.5× 117 0.6× 64 0.5× 52 0.5× 11 767
Lynn Boyd United States 12 741 2.1× 163 0.6× 41 0.2× 316 2.4× 105 1.0× 15 1.2k
O. G. Stroeva Russia 8 258 0.7× 97 0.3× 67 0.3× 57 0.4× 81 0.8× 25 407
Francisco Pérez‐Sánchez Spain 15 123 0.3× 323 1.2× 367 1.8× 25 0.2× 58 0.6× 25 632
R. John Cork United States 9 314 0.9× 62 0.2× 28 0.1× 55 0.4× 149 1.5× 14 485
Marilyn A. Williams United States 11 376 1.1× 51 0.2× 33 0.2× 160 1.2× 101 1.0× 15 549
Andrew E. Baltus United States 8 1.1k 3.1× 501 1.8× 448 2.2× 318 2.5× 112 1.1× 10 1.5k
Dennis W. Waring United States 21 398 1.1× 206 0.7× 779 3.9× 40 0.3× 187 1.9× 38 1.3k
Tom Ducibella United States 25 889 2.5× 1.9k 6.8× 1.3k 6.7× 313 2.4× 68 0.7× 31 2.3k
H. C. Pant United States 17 514 1.4× 101 0.4× 90 0.4× 486 3.8× 262 2.6× 57 1.2k

Countries citing papers authored by Richard Nuccitelli

Since Specialization
Citations

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

Fields of papers citing papers by Richard Nuccitelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Nuccitelli

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

All Works

8 of 8 papers shown
1.
Gruler, Hans & Richard Nuccitelli. (2000). The Galvanotaxis Response Mechanism of Keratinocytes Can Be Modeled as a Proportional Controller. Cell Biochemistry and Biophysics. 33(1). 33–51. 16 indexed citations
2.
Meizel, Stanley, Kenneth O. Turner, & Richard Nuccitelli. (1997). Progesterone Triggers a Wave of Increased Free Calcium during the Human Sperm Acrosome Reaction. Developmental Biology. 182(1). 67–75. 91 indexed citations
3.
Nuccitelli, Richard, et al.. (1996). Fertilization Stimulates an Increase in Inositol Trisphosphate and Inositol Lipid Levels inXenopusEggs. Developmental Biology. 180(1). 108–118. 69 indexed citations
4.
Sheridan, D, R. Rivkah Isseroff, & Richard Nuccitelli. (1996). Imposition of a Physiologic DC Electric Field Alters the Migratory Response of Human Keratinocytes on Extracellular Matrix Molecules. Journal of Investigative Dermatology. 106(4). 642–646. 97 indexed citations
5.
Opresko, Lee K., et al.. (1994). Highly Polarized EGF Receptor Tyrosine Kinase Activity Initiates Egg Activation in Xenopus. Developmental Biology. 162(1). 41–55. 56 indexed citations
6.
Nuccitelli, Richard, et al.. (1993). The Sperm-Induced Ca2+ Wave Following Fertilization of the Xenopus Egg Requires the Production of Ins(1,4,5)P3. Developmental Biology. 158(1). 200–212. 156 indexed citations
7.
Ferguson, James E., Jin‐Kwan Han, Joseph P. Y. Kao, & Richard Nuccitelli. (1991). The effects of inositol trisphosphates and inositol tetrakisphosphate on Ca2+ release and Cl− current pattern in the Xenopus laevis oocyte. Experimental Cell Research. 192(2). 352–365. 22 indexed citations
8.
Ferguson, James E., et al.. (1990). Activation of protein kinase C triggers premature compaction in the four-cell stage mouse embryo. Developmental Biology. 138(1). 1–15. 144 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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