Steven R. Goodman

6.2k total citations
148 papers, 5.4k citations indexed

About

Steven R. Goodman is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Steven R. Goodman has authored 148 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Physiology, 55 papers in Molecular Biology and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Steven R. Goodman's work include Erythrocyte Function and Pathophysiology (97 papers), Blood properties and coagulation (34 papers) and Hemoglobinopathies and Related Disorders (26 papers). Steven R. Goodman is often cited by papers focused on Erythrocyte Function and Pathophysiology (97 papers), Blood properties and coagulation (34 papers) and Hemoglobinopathies and Related Disorders (26 papers). Steven R. Goodman collaborates with scholars based in United States, India and Switzerland. Steven R. Goodman's co-authors include Ian S. Zagon, David Kakhniashvili, B.M. Riederer, Warren E. Zimmer, Keith E. Krebs, Kathleen Shiffer, Lee A. Bulla, Carol F. Whitfield, John Yu and Archil Shartava and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Steven R. Goodman

147 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven R. Goodman United States 43 2.8k 2.5k 1.3k 998 964 148 5.4k
Arndt Rolfs Germany 40 2.3k 0.8× 2.3k 0.9× 960 0.7× 312 0.3× 1.3k 1.4× 280 6.5k
David M. Kurnit United States 37 1.7k 0.6× 4.7k 1.9× 1.1k 0.8× 408 0.4× 769 0.8× 116 8.0k
Wuh‐Liang Hwu Taiwan 47 4.1k 1.5× 3.2k 1.3× 748 0.6× 274 0.3× 507 0.5× 394 8.9k
Sjoerd G. van Duinen Netherlands 46 3.1k 1.1× 2.9k 1.2× 271 0.2× 549 0.6× 770 0.8× 164 7.8k
David A. Wenger United States 55 6.4k 2.3× 4.1k 1.7× 2.0k 1.6× 172 0.2× 333 0.3× 221 9.2k
Dennis D. Cunningham United States 46 1.4k 0.5× 3.8k 1.5× 955 0.7× 305 0.3× 835 0.9× 104 7.8k
Vuk Stambolic Canada 44 879 0.3× 8.6k 3.5× 1.1k 0.9× 810 0.8× 577 0.6× 85 10.8k
Andrew P. Lieberman United States 43 1.5k 0.5× 3.2k 1.3× 935 0.7× 199 0.2× 1.9k 1.9× 106 6.5k
Eiji Nanba Japan 39 1.9k 0.7× 2.2k 0.9× 805 0.6× 210 0.2× 395 0.4× 223 5.2k
Yehia Daaka United States 45 1.1k 0.4× 7.6k 3.1× 1.2k 0.9× 474 0.5× 3.1k 3.3× 97 10.0k

Countries citing papers authored by Steven R. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Steven R. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. Goodman. 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 Steven R. Goodman. The network helps show where Steven R. Goodman may publish in the future.

Co-authorship network of co-authors of Steven R. Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven R. Goodman. A scholar is included among the top collaborators of Steven R. Goodman 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 Steven R. Goodman. Steven R. Goodman 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.
Goodman, Steven R.. (2011). Experimental Biology and Medicine's new dual submission policy. Experimental Biology and Medicine. 236(1). 1–2. 1 indexed citations
2.
Kakhniashvili, David, et al.. (2008). The rat red blood cell proteome is altered by priming with 2-butoxyethanol. Toxicology and Applied Pharmacology. 230(3). 338–345. 1 indexed citations
3.
Hryniewicz‐Jankowska, Anita, Pankaj K. Choudhary, Larry P. Ammann, Charles T. Quinn, & Steven R. Goodman. (2008). Monocyte Protein Signatures of Disease Severity in Sickle Cell Anemia. Experimental Biology and Medicine. 234(2). 210–221. 9 indexed citations
4.
Goodman, Steven R., et al.. (2007). The Human Red Blood Cell Proteome and Interactome. Experimental Biology and Medicine. 232(11). 1391–1408. 147 indexed citations
5.
Choudhary, Pankaj K., et al.. (2006). Protein profiling of sickle cell versus control RBC core membrane skeletons by ICAT technology and tandem mass spectrometry. Cellular & Molecular Biology Letters. 11(3). 326–37. 17 indexed citations
6.
Blake, Charles A., David Kakhniashvili, & Steven R. Goodman. (2005). Mouse Anterior Pituitary Gland: Analysis by Ion Trap Mass Spectrometry. Neuroendocrinology. 81(4). 229–243. 4 indexed citations
7.
Goodman, Steven R., et al.. (2005). Spectrin and ubiquitination: a review.. PubMed. Suppl 51. OL801–7. 15 indexed citations
8.
Goodman, Steven R., et al.. (2004). Ubiquitination of erythrocyte spectrin regulates the dissociation of the spectrin-adducin-f-actin ternary complex in vitro.. PubMed. 50(1). 75–80. 9 indexed citations
9.
Blake, Charles A., David Kakhniashvili, & Steven R. Goodman. (2004). Analysis of the Golden Syrian Hamster Anterior Pituitary Gland Proteome by Ion Trap Mass Spectrometry. Neuroendocrinology. 80(6). 355–367. 3 indexed citations
10.
Kakhniashvili, David & Steven R. Goodman. (2001). Isolation of Spectrin Subunits by Reverse-Phase High-Performance Liquid Chromatography. Protein Expression and Purification. 23(2). 249–251. 2 indexed citations
11.
Zimmer, Warren E., Ying Zhao, Aleksander F. Sikorski, et al.. (2000). The domain of brain β-spectrin responsible for synaptic vesicle association is essential for synaptic transmission. Brain Research. 881(1). 18–27. 21 indexed citations
12.
Sangerman, José, Anthony L. Gard, Arvind Shah, & Steven R. Goodman. (1999). Synthesis, assembly, and turnover of α and β-erythroid and nonerythroid spectrins in rat hippocampal neurons. Brain Research. 849(1-2). 128–138. 6 indexed citations
13.
Shartava, Archil, Arvind Shah, & Steven R. Goodman. (1999). N-acetylcysteine and clotrimazole inhibit sickle erythrocyte dehydration induced by 1-chloro-2,4-dinitrobenzene. American Journal of Hematology. 62(1). 19–24. 26 indexed citations
14.
Goodman, Steven R., Betty S. Pace, & Archil Shartava. (1998). New therapeutic approaches to sickle cell disease: targeting RBC membrane oxidative damage. Cellular & Molecular Biology Letters. 3(4). 403–411. 7 indexed citations
15.
Shartava, Archil, et al.. (1997). Irreversibly sickled cell β-actin: Defective filament formation. American Journal of Hematology. 55(2). 97–103. 18 indexed citations
16.
Goodman, Steven R.. (1996). The role of the membrane skeleton in formation of the irreversibly sickled cell: a review. Cellular & Molecular Biology Letters. 1(1). 6 indexed citations
17.
Sikorski, Aleksander F. & Steven R. Goodman. (1990). The role of spectrin and synapsin i in synaptic transmission. 10(2). 1 indexed citations
18.
Goodman, Steven R. & Ian S. Zagon. (1987). Brain spectrin: Structure, location, and function. A symposium overview. Brain Research Bulletin. 18(6). 773–776. 2 indexed citations
19.
Shiffer, KA & Steven R. Goodman. (1984). Protein 4.1: its association with the human erythrocyte membrane.. Proceedings of the National Academy of Sciences. 81(14). 4404–4408. 45 indexed citations
20.
Goodman, Steven R., et al.. (1983). Species-dependent variations in erythrocyte membrane skeletal proteins. Blood. 61(3). 500–506. 19 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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