T D Chrisman

1.4k total citations
22 papers, 1.2k citations indexed

About

T D Chrisman is a scholar working on Molecular Biology, Surgery and Rheumatology. According to data from OpenAlex, T D Chrisman has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Rheumatology. Recurrent topics in T D Chrisman's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Pancreatic function and diabetes (4 papers). T D Chrisman is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Pancreatic function and diabetes (4 papers). T D Chrisman collaborates with scholars based in United States and Norway. T D Chrisman's co-authors include David L. Garbers, D L Garbers, J. G. Hardman, John H. Exton, Stephanie Schulz, Stephanie Schulz, Lincoln R. Potter, W G Strickland, Jackie D. Corbin and Miki Imazu and has published in prestigious journals such as Journal of Biological Chemistry, FEBS Letters and Annals of the New York Academy of Sciences.

In The Last Decade

T D Chrisman

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T D Chrisman United States 18 735 209 201 121 120 22 1.2k
Gennaro Illiano Italy 18 710 1.0× 63 0.3× 217 1.1× 154 1.3× 116 1.0× 47 1.3k
L Chao United States 23 544 0.7× 334 1.6× 65 0.3× 65 0.5× 121 1.0× 57 1.6k
K. Nagano Japan 17 756 1.0× 50 0.2× 82 0.4× 138 1.1× 74 0.6× 48 1.2k
Robert S. Haworth United Kingdom 27 1.3k 1.8× 801 3.8× 137 0.7× 143 1.2× 157 1.3× 37 1.8k
Richard L. Soffer United States 21 1.1k 1.5× 412 2.0× 141 0.7× 49 0.4× 147 1.2× 37 1.5k
Sharon Dana United States 21 1.1k 1.4× 48 0.2× 183 0.9× 132 1.1× 95 0.8× 27 1.5k
Kaoru Nishiyama Japan 14 710 1.0× 38 0.2× 131 0.7× 91 0.8× 139 1.2× 33 1.1k
Stephanie Propp United States 10 2.1k 2.9× 96 0.5× 126 0.6× 128 1.1× 400 3.3× 14 2.7k
Sadaharu Higuchi Japan 12 562 0.8× 305 1.5× 103 0.5× 62 0.5× 53 0.4× 18 980
Giovanni Alfredo Puca Italy 20 923 1.3× 51 0.2× 122 0.6× 85 0.7× 67 0.6× 41 1.6k

Countries citing papers authored by T D Chrisman

Since Specialization
Citations

This map shows the geographic impact of T D Chrisman'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 T D Chrisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T D Chrisman more than expected).

Fields of papers citing papers by T D Chrisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T D Chrisman. 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 T D Chrisman. The network helps show where T D Chrisman may publish in the future.

Co-authorship network of co-authors of T D Chrisman

This figure shows the co-authorship network connecting the top 25 collaborators of T D Chrisman. A scholar is included among the top collaborators of T D Chrisman 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 T D Chrisman. T D Chrisman 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.
Garbers, David L., T D Chrisman, Phi Wiegn, et al.. (2006). Membrane guanylyl cyclase receptors: an update. Trends in Endocrinology and Metabolism. 17(6). 251–258. 86 indexed citations
2.
Chrisman, T D, et al.. (2003). Identification of a potent serum factor that causes desensitization of the receptor for C-Type natriuretic peptide. Cell Communication and Signaling. 1(1). 4–4. 19 indexed citations
3.
Tamura, Naohisa, T D Chrisman, & David L. Garbers. (2001). The Regulation and Physiological Roles of the Guanylyl Cyclase Receptors.. Endocrine Journal. 48(6). 611–634. 28 indexed citations
4.
Chrisman, T D & David L. Garbers. (1999). Reciprocal Antagonism Coordinates C-type Natriuretic Peptide and Mitogen-signaling Pathways in Fibroblasts. Journal of Biological Chemistry. 274(7). 4293–4299. 81 indexed citations
5.
Chrisman, T D, Stephanie Schulz, Lincoln R. Potter, & David L. Garbers. (1993). Seminal plasma factors that cause large elevations in cellular cyclic GMP are C-type natriuretic peptides.. Journal of Biological Chemistry. 268(5). 3698–3703. 94 indexed citations
6.
Schulz, Stephanie, T D Chrisman, & D L Garbers. (1992). Cloning and expression of guanylin. Its existence in various mammalian tissues.. Journal of Biological Chemistry. 267(23). 16019–16021. 111 indexed citations
7.
Chrisman, T D, Stephanie Schulz, & David L. Garbers. (1992). Guanylyl Cyclases: Ligands and Functions. Cold Spring Harbor Symposia on Quantitative Biology. 57(0). 155–161. 4 indexed citations
8.
Beebe, Stephen J., P F Blackmore, T D Chrisman, & Jackie D. Corbin. (1988). [11] Use of synergistic pairs of site-selective cAMP analogs in intact cells. Methods in enzymology on CD-ROM/Methods in enzymology. 159. 118–139. 55 indexed citations
9.
Chrisman, T D, et al.. (1984). The Mg2+ requirements of nonactivated and activated rat liver phosphorylase kinase. FEBS Letters. 167(2). 295–300. 8 indexed citations
10.
Imazu, Miki, W G Strickland, T D Chrisman, & John H. Exton. (1984). Phosphorylation and inactivation of liver glycogen synthase by liver protein kinases.. Journal of Biological Chemistry. 259(3). 1813–1821. 57 indexed citations
11.
Pilkis, S.J., T D Chrisman, M. Raafat El‐Maghrabi, et al.. (1983). The action of insulin on hepatic fructose 2,6-bisphosphate metabolism.. Journal of Biological Chemistry. 258(3). 1495–1503. 66 indexed citations
12.
Pilkis, Simon J., T D Chrisman, Molly M. McGrane, et al.. (1983). Rat hepatic 6-phosphofructo 2-kinase/fructose 2,6-bisphosphatase: A unique bifunctional enzyme. Advances in Enzyme Regulation. 21. 147–173. 35 indexed citations
13.
Strickland, W G, Miki Imazu, T D Chrisman, & John H. Exton. (1983). Regulation of rat liver glycogen synthase. Roles of Ca2+, phosphorylase kinase, and phosphorylase a.. Journal of Biological Chemistry. 258(9). 5490–5497. 20 indexed citations
14.
Chrisman, T D, et al.. (1982). Purification of rat liver phosphorylase kinase.. Journal of Biological Chemistry. 257(18). 10798–10804. 73 indexed citations
15.
Exton, J H, P F Blackmore, Mahmoud F. El-Refai, et al.. (1981). Mechanisms of hormonal regulation of liver metabolism.. PubMed. 14. 491–505. 21 indexed citations
16.
Chrisman, T D, et al.. (1981). Rat liver phosphorylase kinase. Stimulation by heparin.. Journal of Biological Chemistry. 256(24). 12981–12985. 29 indexed citations
17.
Chrisman, T D, et al.. (1980). Purification and regulatory properties of liver phosphorylase kinase. Advances in Enzyme Regulation. 18. 145–159. 20 indexed citations
18.
Chrisman, T D & J H Exton. (1980). Activation of endogenous phosphorylase kinase in liver glycogen pellet by cAMP-dependent protein kinase.. Journal of Biological Chemistry. 255(8). 3270–3273. 17 indexed citations
19.
Garbers, David L., et al.. (1975). Formation of pyrophosphate by soluble guanylate cyclase from rat lung. Archives of Biochemistry and Biophysics. 166(1). 135–138. 5 indexed citations
20.
Hardman, J. G., et al.. (1971). THE FORMATION AND METABOLISM OF CYCLIC GMP*. Annals of the New York Academy of Sciences. 185(1). 27–35. 106 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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