Tamara Pittman

587 total citations
7 papers, 496 citations indexed

About

Tamara Pittman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tamara Pittman has authored 7 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tamara Pittman's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Migraine and Headache Studies (2 papers). Tamara Pittman is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Migraine and Headache Studies (2 papers). Tamara Pittman collaborates with scholars based in United States and Japan. Tamara Pittman's co-authors include Thomayant Prueksaritanont, Yulin Fang, Weirong Wang, Jerome Hochman, Lora Hamuro, Yunsong Li, Jeanette Roman, Yang Wang, Pavlo Pristatsky and Roxana Ionescu and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Cell Death and Differentiation and European Journal of Pharmacology.

In The Last Decade

Tamara Pittman

7 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamara Pittman United States	7	360	353	116	43	37	7	496
Katharina Diepold Germany	9	358 1.0×	262 0.7×	64 0.6×	5 0.1×	35 0.9×	11	540
Daopeng Yuan United States	11	197 0.5×	202 0.6×	202 1.7×	7 0.2×	15 0.4×	17	408
Atul Maini United States	9	52 0.1×	147 0.4×	65 0.6×	21 0.5×	61 1.6×	15	325
Ago Ahene United States	8	268 0.7×	198 0.6×	222 1.9×	4 0.1×	42 1.1×	16	434
Richard Weldon United States	10	234 0.7×	56 0.2×	31 0.3×	6 0.1×	39 1.1×	13	384
Atsuko Shimizu Japan	12	299 0.8×	34 0.1×	45 0.4×	9 0.2×	58 1.6×	23	476
Shikiko Watanabe Belgium	11	141 0.4×	81 0.2×	83 0.7×	204 4.7×	52 1.4×	15	516
Anna Häggmark Sweden	9	238 0.7×	112 0.3×	49 0.4×	7 0.2×	20 0.5×	12	407
Elizabeth A. Manning United States	5	230 0.6×	50 0.1×	422 3.6×	18 0.4×	354 9.6×	5	685
K. Eibl Germany	18	267 0.7×	420 1.2×	21 0.2×	13 0.3×	20 0.5×	44	785

Countries citing papers authored by Tamara Pittman

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Pittman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Pittman

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

All Works

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7 of 7 papers shown

Liu, Li, Lora Hamuro, Tamara Pittman, et al.. (2011). Pharmacokinetics of IgG1 monoclonal antibodies produced in humanized Pichia pastoris with specific glycoforms: A comparative study with CHO produced materials. Biologicals. 39(4). 205–210. 57 indexed citations

Wang, Weirong, Josef Vlasak, Yunsong Li, et al.. (2011). Impact of methionine oxidation in human IgG1 Fc on serum half-life of monoclonal antibodies. Molecular Immunology. 48(6-7). 860–866. 204 indexed citations

Wang, Weirong, Ping Lü, Yulin Fang, et al.. (2011). Monoclonal Antibodies with Identical Fc Sequences Can Bind to FcRn Differentially with Pharmacokinetic Consequences. Drug Metabolism and Disposition. 39(9). 1469–1477. 143 indexed citations

Lynch, Joseph J., You‐Tang Shen, Tamara Pittman, et al.. (2009). Effects of the prototype serotonin 5-HT1B/1D receptor agonist sumatriptan and the calcitonin gene-related peptide (CGRP) receptor antagonist CGRP8–37 on myocardial reactive hyperemic response in conscious dogs. European Journal of Pharmacology. 623(1-3). 96–102. 18 indexed citations

Shen, You‐Tang, Tamara Pittman, David L. Bolduc, et al.. (2001). Functional Role of α-Calcitonin Gene-Related Peptide in the Regulation of the Cardiovascular System. Journal of Pharmacology and Experimental Therapeutics. 298(2). 551–558. 12 indexed citations

Shen, You‐Tang, Tamara Pittman, David L. Bolduc, et al.. (2001). Functional role of alpha-calcitonin gene-related peptide in the regulation of the cardiovascular system.. PubMed. 298(2). 551–8. 40 indexed citations

Matsumoto, A., et al.. (1999). De novo expression of the class-A macrophage scavenger receptor conferring resistance to apoptosis in differentiated human THP-1 monocytic cells. Cell Death and Differentiation. 6(3). 245–255. 22 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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