Janet A. Macro

547 total citations
8 papers, 429 citations indexed

About

Janet A. Macro is a scholar working on Molecular Biology, Pollution and Surgery. According to data from OpenAlex, Janet A. Macro has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pollution and 2 papers in Surgery. Recurrent topics in Janet A. Macro's work include Wastewater Treatment and Nitrogen Removal (3 papers), Fungal and yeast genetics research (2 papers) and Mast cells and histamine (1 paper). Janet A. Macro is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (3 papers), Fungal and yeast genetics research (2 papers) and Mast cells and histamine (1 paper). Janet A. Macro collaborates with scholars based in United Kingdom, Netherlands and Belgium. Janet A. Macro's co-authors include R. Dimaline, G.J. Dockray, Andrea Varró, Camille Vaillant, Nabil G. Seidah, Edward I. Campbell, James R. Kinghorn, Shiela E. Unkles, Roland Contreras and Cees A. M. J. J. van den Hondel and has published in prestigious journals such as The Journal of Physiology, Biochemical Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Janet A. Macro

7 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet A. Macro United Kingdom 7 189 178 146 67 42 8 429
Xuezhi Ouyang Singapore 7 230 1.2× 149 0.8× 22 0.2× 54 0.8× 22 0.5× 12 507
Sz. Tóth Hungary 8 103 0.5× 209 1.2× 102 0.7× 78 1.2× 12 0.3× 14 420
Peng Su China 13 172 0.9× 188 1.1× 29 0.2× 27 0.4× 19 0.5× 27 491
Christopher J. Dowd United States 4 162 0.9× 126 0.7× 75 0.5× 22 0.3× 8 0.2× 5 410
Nagaraja N. Nagre United States 16 295 1.6× 91 0.5× 34 0.2× 27 0.4× 168 4.0× 25 587
Zhe Pei United States 15 309 1.6× 177 1.0× 60 0.4× 11 0.2× 50 1.2× 37 574
Jin Sun Kang South Korea 12 405 2.1× 248 1.4× 10 0.1× 48 0.7× 14 0.3× 16 559
L.W. Haynes United Kingdom 11 113 0.6× 182 1.0× 15 0.1× 26 0.4× 33 0.8× 38 387
Heyne Lee United Kingdom 11 227 1.2× 249 1.4× 31 0.2× 16 0.2× 20 0.5× 12 804
Stanley Batkin United States 9 265 1.4× 15 0.1× 40 0.3× 24 0.4× 13 0.3× 19 511

Countries citing papers authored by Janet A. Macro

Since Specialization
Citations

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

Fields of papers citing papers by Janet A. Macro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet A. Macro. 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 Janet A. Macro. The network helps show where Janet A. Macro may publish in the future.

Co-authorship network of co-authors of Janet A. Macro

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

All Works

8 of 8 papers shown
1.
Watson, Fiona L., et al.. (1999). Transcriptional activation of vesicular monoamine transporter 2 in the pre-B cell line Ea3.123. Biochemical Journal. 337(2). 193–199. 19 indexed citations
2.
Kumar, Pat, et al.. (1999). Irradiation Induces Upregulation of CD31 in Human Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 19(3). 588–597. 43 indexed citations
3.
Macro, Janet A., Andrea Varró, Camille Vaillant, et al.. (1997). Regulation by gastric acid of the processing of progastrin‐derived peptides in rat antral mucosa. The Journal of Physiology. 502(2). 409–419. 186 indexed citations
4.
Macro, Janet A., R. Dimaline, & G.J. Dockray. (1996). Identification and expression of prohormone-converting enzymes in the rat stomach. American Journal of Physiology-Gastrointestinal and Liver Physiology. 270(1). G87–G93. 26 indexed citations
5.
Macro, Janet A. & R. Dimaline. (1993). Identification, partial cDNA sequence and expression of nitric oxide synthase in rat stomach. Regulatory Peptides. 47(1). 93–93.
6.
Sánchez-Fernández, Rocı́o, Shiela E. Unkles, Edward I. Campbell, et al.. (1991). Transformation of the filamentous fungus Gibberella fujikuroi using the Aspergillus niger niaD gene encoding nitrate reductase. Molecular and General Genetics MGG. 225(2). 231–233. 21 indexed citations
7.
Campbell, Edward I., Shiela E. Unkles, Janet A. Macro, et al.. (1989). Improved transformation efficiency of Aspergillus niger using the homologous niaD gene for nitrate reductase. Current Genetics. 16(1). 53–56. 33 indexed citations
8.
Unkles, Shiela E., Edward I. Campbell, Martien Broekhuijsen, et al.. (1989). The development of a homologous transformation system for Aspergillus oryzae based on the nitrate assimilation pathway: A convenient and general selection system for filamentous fungal transformation. Molecular and General Genetics MGG. 218(1). 99–104. 101 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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