Marcia M. Shull

3.7k total citations · 1 hit paper
7 papers, 3.1k citations indexed

About

Marcia M. Shull is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Marcia M. Shull has authored 7 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Surgery. Recurrent topics in Marcia M. Shull's work include Ion Transport and Channel Regulation (4 papers), Neonatal Respiratory Health Research (2 papers) and Renal and related cancers (2 papers). Marcia M. Shull is often cited by papers focused on Ion Transport and Channel Regulation (4 papers), Neonatal Respiratory Health Research (2 papers) and Renal and related cancers (2 papers). Marcia M. Shull collaborates with scholars based in United States. Marcia M. Shull's co-authors include Thomas Doetschman, Ronald J. Diebold, Gabriele Proetzel, Ann B. Kier, C L Sidman, Ruth D. Allen, Ilona Ormsby, Sharon A. Pawlowski, Moying Yin and Jerry B. Lingrel and has published in prestigious journals such as Nature, New England Journal of Medicine and Genomics.

In The Last Decade

Marcia M. Shull

7 papers receiving 3.0k 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.

Targeted disruption of the mouse transforming growth factor-β1 gene results in multifocal inflammatory disease

1992 2.5k citations Marcia M. Shull, Ilona Ormsby et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcia M. Shull United States	6	1.7k	874	615	375	307	7	3.1k
Ronald J. Diebold United States	11	1.7k 1.0×	966 1.1×	608 1.0×	373 1.0×	265 0.9×	11	3.3k
Ruth D. Allen United States	8	1.4k 0.8×	1.2k 1.4×	591 1.0×	362 1.0×	260 0.8×	10	3.1k
Anita B. Roberts United States	12	1.5k 0.9×	688 0.8×	577 0.9×	207 0.6×	265 0.9×	12	3.0k
Michael B. Sporn United States	15	1.8k 1.1×	757 0.9×	780 1.3×	241 0.6×	343 1.1×	15	3.7k
A B Kulkarni United States	9	1.2k 0.7×	763 0.9×	507 0.8×	252 0.7×	172 0.6×	12	2.3k
Linda A. Cannizzaro United States	30	2.5k 1.5×	797 0.9×	585 1.0×	647 1.7×	192 0.6×	75	3.9k
Mark J. Murray United States	24	2.1k 1.2×	503 0.6×	845 1.4×	558 1.5×	402 1.3×	31	4.4k
Moying Yin United States	14	2.3k 1.4×	980 1.1×	756 1.2×	787 2.1×	339 1.1×	22	3.9k
Sharon A. Pawlowski United States	8	2.5k 1.5×	957 1.1×	740 1.2×	810 2.2×	419 1.4×	8	4.1k
Akihiko Ito Japan	32	1.5k 0.9×	841 1.0×	386 0.6×	227 0.6×	340 1.1×	88	3.3k

Countries citing papers authored by Marcia M. Shull

Since Specialization

Citations

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

Fields of papers citing papers by Marcia M. Shull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcia M. Shull. 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 Marcia M. Shull. The network helps show where Marcia M. Shull may publish in the future.

Co-authorship network of co-authors of Marcia M. Shull

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Shull, Marcia M. & Thomas Doetschman. (1994). Transforming growth factor‐β1 in reproduction. Molecular Reproduction and Development. 39(2). 239–246. 51 indexed citations

2.

Shull, Marcia M., Ilona Ormsby, Ann B. Kier, et al.. (1992). Targeted disruption of the mouse transforming growth factor-β1 gene results in multifocal inflammatory disease. Nature. 359(6397). 693–699. 2482 indexed citations breakdown →

3.

Shull, Marcia M., Diana G. Hassenbein, Jennifer M.H. Loggie, et al.. (1992). Discordant segregation of Na+,K+-adenosine triphosphatase alleles and essential hypertension. Journal of Hypertension. 10(9). 1005???1010–1005???1010. 4 indexed citations

4.

Lingrel, Jerry B., John Orlowski, Marcia M. Shull, & Elmer M. Price. (1990). Molecular Genetics of Na,K-ATPase. Progress in nucleic acid research and molecular biology. 38. 37–89. 352 indexed citations

5.

Shull, Marcia M., et al.. (1990). The human Na,K-ATPase α1 gene: Characterization of the 5′-flanking region and identification of a restriction fragment length polymorphism. Genomics. 6(3). 451–460. 59 indexed citations

6.

Lane, Lois K., Marcia M. Shull, Kyra Whitmer, & Jerry B. Lingrel. (1989). Characterization of two genes for the human Na,K-ATPase β subunit. Genomics. 5(3). 445–453. 43 indexed citations

7.

Cavenee, Webster K., A. Linn Murphree, Marcia M. Shull, et al.. (1986). Prediction of Familial Predisposition to Retinoblastoma. New England Journal of Medicine. 314(19). 1201–1207. 83 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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