Tinya C. Fleming

559 total citations
9 papers, 441 citations indexed

About

Tinya C. Fleming is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Tinya C. Fleming has authored 9 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Genetics. Recurrent topics in Tinya C. Fleming's work include Bacteriophages and microbial interactions (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Tinya C. Fleming is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Tinya C. Fleming collaborates with scholars based in United States. Tinya C. Fleming's co-authors include Kit Pogliano, Pieter C. Dorrestein, David J. Gonzalez, Andrew Hollands, Nina M. Haste, Victor Nizet, Sang-Hyuk Lee, Carlos Bustamante, Jane Y. Yang and Ryan Simkovsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Development.

In The Last Decade

Tinya C. Fleming

9 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tinya C. Fleming United States	9	267	121	94	89	53	9	441
Alex Ter Beek Netherlands	11	589 2.2×	166 1.4×	204 2.2×	22 0.2×	10 0.2×	12	814
Deborah A. Court Canada	19	1.1k 4.0×	77 0.6×	69 0.7×	23 0.3×	102 1.9×	45	1.3k
Atanas Radkov United States	12	380 1.4×	120 1.0×	121 1.3×	19 0.2×	31 0.6×	20	691
Tobias Bergmiller Austria	15	457 1.7×	179 1.5×	319 3.4×	6 0.1×	12 0.2×	20	735
Marc Schaffer Germany	10	371 1.4×	137 1.1×	198 2.1×	32 0.4×	16 0.3×	14	483
Larisa E. Cybulski Argentina	12	642 2.4×	183 1.5×	308 3.3×	10 0.1×	18 0.3×	22	861
L McAlister United States	9	845 3.2×	93 0.8×	53 0.6×	23 0.3×	9 0.2×	9	930
Corinna Lippmann Germany	11	536 2.0×	50 0.4×	112 1.2×	21 0.2×	6 0.1×	13	619
Anna Vanyushkina Russia	11	302 1.1×	66 0.5×	63 0.7×	8 0.1×	18 0.3×	20	505
Justin Smith United States	14	738 2.8×	27 0.2×	174 1.9×	8 0.1×	12 0.2×	21	832

Countries citing papers authored by Tinya C. Fleming

Since Specialization

Citations

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

Fields of papers citing papers by Tinya C. Fleming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tinya C. Fleming. 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 Tinya C. Fleming. The network helps show where Tinya C. Fleming may publish in the future.

Co-authorship network of co-authors of Tinya C. Fleming

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

All Works

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9 of 9 papers shown

1.

Fleming, Tinya C., et al.. (2016). Reticulons Regulate the ER Inheritance Block during ER Stress. Developmental Cell. 37(3). 279–288. 14 indexed citations

2.

Shin, Jae Yen, Javier López‐Garrido, Sang-Hyuk Lee, et al.. (2015). Visualization and functional dissection of coaxial paired SpoIIIE channels across the sporulation septum. eLife. 4. e06474–e06474. 30 indexed citations

3.

Pang, Ting, Tinya C. Fleming, Kit Pogliano, & Ry Young. (2013). Visualization of pinholin lesions in vivo. Proceedings of the National Academy of Sciences. 110(22). E2054–63. 42 indexed citations

4.

Fredlund, Jennifer, et al.. (2013). The SpoIIQ landmark protein has different requirements for septal localization and immobilization. Molecular Microbiology. 89(6). 1053–1068. 17 indexed citations

5.

Yang, Jane Y., Vanessa V. Phelan, Ryan Simkovsky, et al.. (2012). Primer on Agar-Based Microbial Imaging Mass Spectrometry. Journal of Bacteriology. 194(22). 6023–6028. 134 indexed citations

6.

Gonzalez, David J., Nina M. Haste, Andrew Hollands, et al.. (2011). Microbial competition between Bacillus subtilis and Staphylococcus aureus monitored by imaging mass spectrometry. Microbiology. 157(9). 2485–2492. 107 indexed citations

7.

Fleming, Tinya C., Jae Yen Shin, Sang-Hyuk Lee, et al.. (2010). Dynamic SpoIIIE assembly mediates septal membrane fission during Bacillus subtilis sporulation. Genes & Development. 24(11). 1160–1172. 57 indexed citations

8.

Fleming, Tinya C., et al.. (2010). The role of C. elegans Ena/VASP homolog UNC-34 in neuronal polarity and motility. Developmental Biology. 344(1). 94–106. 26 indexed citations

9.

Fleming, Tinya C., Fred W. Wolf, & Gian Garriga. (2005). Sensitized genetic backgrounds reveal a role for C. elegans FGF EGL-17 as a repellent for migrating CAN neurons. Development. 132(21). 4857–4867. 14 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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