Tobin J. Cammett

1.0k total citations · 1 hit paper
6 papers, 765 citations indexed

About

Tobin J. Cammett is a scholar working on Molecular Biology, Nephrology and Virology. According to data from OpenAlex, Tobin J. Cammett has authored 6 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Nephrology and 1 paper in Virology. Recurrent topics in Tobin J. Cammett's work include RNA and protein synthesis mechanisms (3 papers), Adenosine and Purinergic Signaling (1 paper) and HIV Research and Treatment (1 paper). Tobin J. Cammett is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Adenosine and Purinergic Signaling (1 paper) and HIV Research and Treatment (1 paper). Tobin J. Cammett collaborates with scholars based in United States, Switzerland and France. Tobin J. Cammett's co-authors include Daniel C. Desrosiers, Zhengyu Peng, Daniel DiMaio, Donald M. Engelman, Susan J. Jun, Francisco N. Barrera, Katerina Ragkousi, Agnieszka Sekowska, Lotte B. Pedersen and Elizabeth Melly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Gene.

In The Last Decade

Tobin J. Cammett

6 papers receiving 749 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The ankyrin repeat as molecular architecture for protein recognition

2004 689 citations Tobin J. Cammett, Daniel C. Desrosiers et al. Protein Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tobin J. Cammett United States	5	440	113	100	97	96	6	765
Robert L. McKown United States	19	386 0.9×	150 1.3×	165 1.6×	102 1.1×	39 0.4×	45	987
Gerard M. Gibbs Australia	16	547 1.2×	111 1.0×	333 3.3×	70 0.7×	119 1.2×	18	1.3k
FoSheng Hsu United States	12	825 1.9×	81 0.7×	191 1.9×	119 1.2×	140 1.5×	14	1.2k
Karen L. Artiles United States	10	699 1.6×	86 0.8×	132 1.3×	100 1.0×	131 1.4×	11	1.0k
Rina Ahmed-Begrich Germany	7	388 0.9×	103 0.9×	93 0.9×	32 0.3×	42 0.4×	11	615
Elizabeth Scotto–Lavino United States	5	408 0.9×	124 1.1×	81 0.8×	73 0.8×	48 0.5×	7	669
E. S. Snigirevskaya Russia	11	262 0.6×	50 0.4×	72 0.7×	52 0.5×	96 1.0×	33	521
Andrew Shaw United States	14	457 1.0×	55 0.5×	62 0.6×	140 1.4×	65 0.7×	19	701
Long Miao China	18	483 1.1×	211 1.9×	99 1.0×	237 2.4×	72 0.8×	35	1.1k
Kristian W. Sanggaard Denmark	20	320 0.7×	128 1.1×	103 1.0×	153 1.6×	109 1.1×	33	830

Countries citing papers authored by Tobin J. Cammett

Since Specialization

Citations

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

Fields of papers citing papers by Tobin J. Cammett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tobin J. Cammett. 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 Tobin J. Cammett. The network helps show where Tobin J. Cammett may publish in the future.

Co-authorship network of co-authors of Tobin J. Cammett

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

All Works

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6 of 6 papers shown

1.

Cammett, Tobin J., et al.. (2022). Exploratory Prognostic Biomarkers of Complement-Mediated Thrombotic Microangiopathy (CM-TMA) in Adults with Atypical Hemolytic Uremic Syndrome (aHUS): Analysis of a Phase III Study of Ravulizumab. Molecular Diagnosis & Therapy. 27(1). 61–74. 4 indexed citations

2.

Cammett, Tobin J., et al.. (2010). Construction and genetic selection of small transmembrane proteins that activate the human erythropoietin receptor. Proceedings of the National Academy of Sciences. 107(8). 3447–3452. 32 indexed citations

3.

Kong, Yong, et al.. (2010). Construction and maintenance of randomized retroviral expression libraries for transmembrane protein engineering. Protein Engineering Design and Selection. 24(3). 311–320. 5 indexed citations

4.

Cammett, Tobin J., et al.. (2004). The ankyrin repeat as molecular architecture for protein recognition. Protein Science. 13(6). 1435–1448. 689 indexed citations breakdown →

5.

Cammett, Tobin J., et al.. (2003). Design and Characterization of a Hyperstable p16INK4a that Restores Cdk4 Binding Activity when Combined with Oncogenic Mutations. Journal of Molecular Biology. 327(1). 285–297. 20 indexed citations

6.

Pedersen, Lotte B., Katerina Ragkousi, Tobin J. Cammett, et al.. (2000). Characterization of ywhE, which encodes a putative high-molecular-weight class A penicillin-binding protein in Bacillus subtilis. Gene. 246(1-2). 187–196. 15 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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