Din Pow

896 total citations
9 papers, 793 citations indexed

About

Din Pow is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Din Pow has authored 9 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Din Pow's work include HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Genomics and Phylogenetic Studies (2 papers). Din Pow is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Genomics and Phylogenetic Studies (2 papers). Din Pow collaborates with scholars based in United States and Japan. Din Pow's co-authors include Michael T. Clegg, John Doebley, Mary L. Durbin, Edward M. Golenberg, Glenn Merlino, Adrian Clark, Bruce A. Roe, Shunsuke Ishii, Ira Pastan and Richard K. Wilson and has published in prestigious journals such as Nature, Nucleic Acids Research and Molecular and Cellular Biology.

In The Last Decade

Din Pow

9 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Din Pow United States	8	532	239	223	159	128	9	793
Michael Giblin United States	21	422 0.8×	275 1.2×	82 0.4×	308 1.9×	64 0.5×	44	1.3k
B. Nicoletti Italy	16	473 0.9×	212 0.9×	62 0.3×	73 0.5×	331 2.6×	44	830
Koki Nakashima Japan	8	358 0.7×	119 0.5×	161 0.7×	51 0.3×	68 0.5×	28	615
Thomas M. Vincent United States	7	769 1.4×	141 0.6×	273 1.2×	77 0.5×	61 0.5×	11	1.0k
A.M. Dutrillaux France	15	252 0.5×	148 0.6×	117 0.5×	47 0.3×	162 1.3×	29	527
P Meltzer United States	5	530 1.0×	44 0.2×	124 0.6×	73 0.5×	218 1.7×	5	930
Paula K. Elder United States	15	686 1.3×	70 0.3×	30 0.1×	101 0.6×	160 1.3×	19	894
Patrick D. Storto United States	12	381 0.7×	78 0.3×	119 0.5×	94 0.6×	250 2.0×	21	735
Vincent E. Zenger United States	14	460 0.9×	264 1.1×	171 0.8×	50 0.3×	33 0.3×	25	1.1k
Qingrun Zhang United States	10	421 0.8×	196 0.8×	33 0.1×	64 0.4×	244 1.9×	23	745

Countries citing papers authored by Din Pow

Since Specialization

Citations

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

Fields of papers citing papers by Din Pow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Din Pow. 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 Din Pow. The network helps show where Din Pow may publish in the future.

Co-authorship network of co-authors of Din Pow

This figure shows the co-authorship network connecting the top 25 collaborators of Din Pow. A scholar is included among the top collaborators of Din Pow 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 Din Pow. Din Pow 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

Callahan, Franklin E., et al.. (2004). MOLECULAR BIOLOGY AND PHYSIOLOGY Comparison of MIC-3 Protein Accumulation in Response to Root-knot Nematode Infection in Cotton Lines Displaying a Range of Resistance Levels. 8(3). 186–190. 1 indexed citations

Clegg, Michael T., et al.. (1993). Evolution of a Noncoding Region of the Chloroplast Genome. Molecular Phylogenetics and Evolution. 2(1). 52–64. 191 indexed citations

Doebley, John, Mary L. Durbin, Edward M. Golenberg, Michael T. Clegg, & Din Pow. (1990). EVOLUTIONARY ANALYSIS OF THE LARGE SUBUNIT OF CARBOXYLASE ( rbcL ) NUCLEOTIDE SEQUENCE AMONG THE GRASSES (GRAMINEAE). Evolution. 44(4). 1097–1108. 139 indexed citations

Doebley, John, Mary K Durbin, Edward M. Golenberg, Michael T. Clegg, & Din Pow. (1990). Evolutionary Analysis of the Large Subunit of Carboxylase (rbcL) Nucleotide Sequence Among the Grasses (Gramineae). Evolution. 44(4). 1097–1097. 50 indexed citations

Guiltinan, Mark J., Din Pow, Richard F. Barker, et al.. (1987). The isolation, characterization and sequence of two divergent ?-tubulin genes from soybean (Glycine max L.). Plant Molecular Biology. 10(2). 171–184. 55 indexed citations

Clark, Adrian, Laura Beguinot, Shunsuke Ishii, et al.. (1986). Synthesis of epidermal growth factor (EGF) receptor in vitro using SP6 RNA polymerase-transcribed template mRNA. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 867(4). 244–251. 17 indexed citations

Pikaard, Craig S., et al.. (1986). Sequence of two apparent pseudogenes of the major potato tuber protein, patatin. Nucleic Acids Research. 14(13). 5564–5566. 31 indexed citations

Merlino, Glenn, Shunsuke Ishii, Jacqueline Whang‐Peng, et al.. (1985). Structure and Localization of Genes Encoding Aberrant and Normal Epidermal Growth Factor Receptor RNAs from A431 Human Carcinoma Cells. Molecular and Cellular Biology. 5(7). 1722–1734. 39 indexed citations

Ishii, Shunsuke, Adrian Clark, Richard K. Wilson, et al.. (1984). Human epidermal growth factor receptor cDNA is homologous to a variety of RNAs overproduced in A431 carcinoma cells. Nature. 309(5971). 806–810. 270 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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