J. E. Welch

452 total citations
10 papers, 321 citations indexed

About

J. E. Welch is a scholar working on Cell Biology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, J. E. Welch has authored 10 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Molecular Biology. Recurrent topics in J. E. Welch's work include Hemoglobin structure and function (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiovascular and exercise physiology (1 paper). J. E. Welch is often cited by papers focused on Hemoglobin structure and function (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiovascular and exercise physiology (1 paper). J. E. Welch collaborates with scholars based in United States and Japan. J. E. Welch's co-authors include James Metcalfe, Deborah A. O’Brien, Kerry D. Fulcher, David L. Francisco, Ian E. McCutcheon, Aı̈da Metzenberg, Martin L. Pernoll, Thomas Schlenker, Chisato Mori and E. M. Eddy and has published in prestigious journals such as Circulation Research, Journal of Applied Physiology and American Journal of Obstetrics and Gynecology.

In The Last Decade

J. E. Welch

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. E. Welch United States 8 73 58 53 47 46 10 321
B. S. Knox New Zealand 11 99 1.4× 57 1.0× 189 3.6× 23 0.5× 81 1.8× 21 700
Challis Canada 6 115 1.6× 37 0.6× 105 2.0× 15 0.3× 72 1.6× 12 473
PC Owens Australia 7 43 0.6× 38 0.7× 130 2.5× 17 0.4× 42 0.9× 9 356
M Mikuni Japan 13 189 2.6× 52 0.9× 44 0.8× 39 0.8× 98 2.1× 29 565
Annie E. Newell‐Fugate United States 10 61 0.8× 125 2.2× 33 0.6× 49 1.0× 17 0.4× 30 520
Raja W. Abdul‐Karim United States 13 97 1.3× 43 0.7× 197 3.7× 48 1.0× 217 4.7× 39 601
Herbert M. Todd United States 11 51 0.7× 38 0.7× 31 0.6× 26 0.6× 50 1.1× 22 369
Yasunobu EGUCHI Japan 12 24 0.3× 78 1.3× 139 2.6× 58 1.2× 42 0.9× 53 395
D. V. Illingworth United Kingdom 11 62 0.8× 60 1.0× 34 0.6× 10 0.2× 36 0.8× 22 469
Samuel D. Prien United States 13 132 1.8× 65 1.1× 74 1.4× 39 0.8× 39 0.8× 47 410

Countries citing papers authored by J. E. Welch

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Welch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. E. Welch

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

All Works

10 of 10 papers shown
1.
O'Brien, Deborah A., J. E. Welch, Eugenia H. Goulding, et al.. (1996). Boar proacrosin expressed in spermatids of transgenic mice does not reach the acrosome and disrupts spermatogenesis. Molecular Reproduction and Development. 43(2). 236–247. 4 indexed citations
2.
O’Brien, Deborah A., J. E. Welch, Kerry D. Fulcher, & Edward M. Eddy. (1994). Expression of Mannose 6-Phosphate Receptor Messenger Ribonucleic Acids in Mouse Spermatogenic and Sertoli Cells1. Biology of Reproduction. 50(2). 429–435. 16 indexed citations
3.
Mori, Chisato, J. E. Welch, Kerry D. Fulcher, Deborah A. O’Brien, & E. M. Eddy. (1993). Unique Hexokinase Messenger Ribonucleic Acids Lacking the Porin-Binding Domain are Developmentally Expressed in Mouse Spermatogenic Cells1. Biology of Reproduction. 49(2). 191–203. 71 indexed citations
4.
Veille, Jean-Claude, Jeffrey D. Hosenpud, Melinda J. Morton, & J. E. Welch. (1984). Cardiac size and function in pregnancy-induced hypertension. American Journal of Obstetrics and Gynecology. 150(5). 443–449. 26 indexed citations
6.
Metcalfe, James, Ian E. McCutcheon, David L. Francisco, Aı̈da Metzenberg, & J. E. Welch. (1981). Oxygen availability and growth of the chick embryo. Respiration Physiology. 46(2). 81–88. 87 indexed citations
7.
Pantely, George A., et al.. (1979). Reduction of human blood O2 affinity using dihydroxyacetone, phosphate, and pyruvate. Journal of Applied Physiology. 47(3). 478–481. 1 indexed citations
8.
Krall, Michael, James Bristow, J. E. Welch, & James Metcalfe. (1978). Physiological effects of lowered blood oxygen affinity in dogs. Respiration Physiology. 33(3). 263–270. 9 indexed citations
9.
Bristow, James, J. Metcalfe, Michael Krall, et al.. (1977). Reduction of blood oxygen affinity in dogs by infusion of glycolytic intermediates. Journal of Applied Physiology. 43(1). 102–106. 11 indexed citations
10.
Pernoll, Martin L., et al.. (1975). Oxygen consumption at rest and during exercise in pregnancy. Respiration Physiology. 25(3). 285–293. 77 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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