Nina M. Graves

4.3k total citations
36 papers, 1.2k citations indexed

About

Nina M. Graves is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nina M. Graves has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Psychiatry and Mental health, 24 papers in Pediatrics, Perinatology and Child Health and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nina M. Graves's work include Epilepsy research and treatment (26 papers), Pharmacological Effects and Toxicity Studies (24 papers) and Drug Transport and Resistance Mechanisms (6 papers). Nina M. Graves is often cited by papers focused on Epilepsy research and treatment (26 papers), Pharmacological Effects and Toxicity Studies (24 papers) and Drug Transport and Resistance Mechanisms (6 papers). Nina M. Graves collaborates with scholars based in United States, Ireland and Canada. Nina M. Graves's co-authors include Ilo E. Leppik, Rory P. Remmel, Robert S. Fisher, Gregory B. Holmes, Stephen D. Cranstoun, David Blum, Andrew G. Shetter, Jacqueline A. French, Brian Litt and Jurg L. Jaggi and has published in prestigious journals such as Epilepsia, Transplantation and Clinical Pharmacology & Therapeutics.

In The Last Decade

Nina M. Graves

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina M. Graves United States 19 682 568 431 331 185 36 1.2k
Charlotte B. McCutchen United States 13 1.0k 1.5× 860 1.5× 354 0.8× 137 0.4× 224 1.2× 19 1.3k
Jennifer Weston United Kingdom 19 1.0k 1.5× 953 1.7× 293 0.7× 189 0.6× 166 0.9× 28 1.6k
Martin Prevett United Kingdom 16 632 0.9× 424 0.7× 307 0.7× 154 0.5× 135 0.7× 25 1.1k
Angela La Neve Italy 20 1.2k 1.8× 986 1.7× 408 0.9× 180 0.5× 159 0.9× 55 1.6k
Giorgia Giussani Italy 21 872 1.3× 629 1.1× 285 0.7× 119 0.4× 108 0.6× 47 1.2k
W. Fröscher Germany 17 667 1.0× 502 0.9× 189 0.4× 80 0.2× 339 1.8× 81 1.2k
Manuel Toledo Spain 28 1.7k 2.5× 1.3k 2.2× 755 1.8× 252 0.8× 235 1.3× 136 2.2k
J. Overweg Netherlands 19 1.4k 2.0× 912 1.6× 500 1.2× 83 0.3× 298 1.6× 45 1.7k
David G. Vossler United States 22 970 1.4× 632 1.1× 446 1.0× 92 0.3× 175 0.9× 61 1.2k
PN Patsalos United Kingdom 15 426 0.6× 385 0.7× 197 0.5× 91 0.3× 63 0.3× 32 699

Countries citing papers authored by Nina M. Graves

Since Specialization
Citations

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

Fields of papers citing papers by Nina M. Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina M. Graves

This figure shows the co-authorship network connecting the top 25 collaborators of Nina M. Graves. A scholar is included among the top collaborators of Nina M. Graves 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 Nina M. Graves. Nina M. Graves 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
1.
So, Elson L., Jacquelyn Bainbridge, Jeffrey Buchhalter, et al.. (2008). Report of the American Epilepsy Society and the Epilepsy Foundation Joint Task Force on Sudden Unexplained Death in Epilepsy. Epilepsia. 50(4). 917–922. 72 indexed citations
2.
Kerrigan, John, Brian Litt, Robert S. Fisher, et al.. (2004). Electrical Stimulation of the Anterior Nucleus of the Thalamus for the Treatment of Intractable Epilepsy. Epilepsia. 45(4). 346–354. 350 indexed citations
3.
Birnbaum, Angela K., Nancy A. Hardie, Jeannine M. Conway, et al.. (2004). Valproic acid doses, concentrations, and clearances in elderly nursing home residents. Epilepsy Research. 62(2-3). 157–162. 21 indexed citations
4.
Birnbaum, Angela K., Nancy A. Hardie, Jeannine M. Conway, et al.. (2003). Phenytoin use in elderly nursing home residents. ˜The œAmerican journal of geriatric pharmacotherapy. 1(2). 90–95. 13 indexed citations
5.
Krouwer, Hendrikus G. J., et al.. (2000). Management of Seizures in Brain Tumor Patients at the End of Life. Journal of Palliative Medicine. 3(4). 465–475. 21 indexed citations
6.
Graves, Nina M., Richard C. Brundage, G. D. Cascino, et al.. (1998). Population Pharmacokinetics of Carbamazepine in Adults with Epilepsy. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 18(2). 273–281. 37 indexed citations
7.
Halikas, James A., et al.. (1997). A randomized double-blind study of carbamazepine in the treatment of cocaine abuse*. Clinical Pharmacology & Therapeutics. 62(1). 89–105. 41 indexed citations
8.
So, Elson L., Nina M. Graves, Ilo E. Leppik, et al.. (1995). Pharmacokinetics of tiagabine as add-on therapy in patients taking enzyme-inducing antiepilepsy drugs. Epilepsy Research. 22(3). 221–226. 42 indexed citations
9.
Graves, Nina M., et al.. (1995). Predicting Unbound Phenytoin Concentrations In Patients Receiving Valproic Acid: A Comparison of Two Prediction Methods. Annals of Pharmacotherapy. 29(5). 470–474. 7 indexed citations
10.
Wagner, Mary, Nina M. Graves, Ilo E. Leppik, et al.. (1994). The effect of felbamate on valproic acid disposition. Clinical Pharmacology & Therapeutics. 56(5). 494–502. 40 indexed citations
11.
Graves, Nina M.. (1992). Redefining Scholarship: A Faculty Member's Perspective. American Journal of Pharmaceutical Education. 56(4). 450–453. 1 indexed citations
12.
Canafax, Daniel M., Nina M. Graves, Donald M. Hilligoss, et al.. (1991). INTERACTION BETWEEN CYCLOSPORINE AND FLUCONAZOLE IN RENAL ALLOGRAFT RECIPIENTS. Transplantation. 51(5). 1014–1017. 95 indexed citations
13.
Remmel, Rory P., Scott A. Miller, & Nina M. Graves. (1990). Simultaneous Assay of Felbamate plus Carbamazepine, Phenytoin, and Their Metabolites by Liquid Chromatography with Mobile Phase Optimization. Therapeutic Drug Monitoring. 12(1). 90–96. 35 indexed citations
14.
Graves, Nina M., et al.. (1989). Effect of Felbamate on Phenytoin and Carbamazepine Serum Concentrations. Epilepsia. 30(2). 225–229. 68 indexed citations
15.
Graves, Nina M., et al.. (1988). Felbamate Increases Phenytoin but Decreases Carbamazepine Concentrations. Epilepsia. 29(4). 488–491. 58 indexed citations
16.
Graves, Nina M., et al.. (1987). Quantitative Determination of Phenytoin and Phenobarbital in Capillary Blood by Ames Seralyzer. Epilepsia. 28(6). 713–716. 3 indexed citations
17.
Brundage, Richard C., James C. Cloyd, E. E. Leppik, Nina M. Graves, & Timothy E. Welty. (1987). Effect of Progabide on Serum Phenytoin and Carbamazepine Concentrations. Clinical Neuropharmacology. 10(6). 545–554. 3 indexed citations
18.
Graves, Nina M., et al.. (1987). Bioavailability of Rectally Administered Lorazepam. Clinical Neuropharmacology. 10(6). 555–559. 31 indexed citations
19.
Leppik, Ilo E., Fritz E. Dreifuss, Nancy Santilli, et al.. (1985). a Double-blind Crossover Evaluation of Progabide in Partial Seizures : 3:15 Pm 8. 35(4). 21 indexed citations
20.
Welty, Timothy E., Nina M. Graves, & James C. Cloyd. (1983). Antiepileptic drug therapy. Postgraduate Medicine. 74(5). 287–305. 11 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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