MJ Langman

510 total citations
11 papers, 424 citations indexed

About

MJ Langman is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology and Oncology. According to data from OpenAlex, MJ Langman has authored 11 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 5 papers in Pharmacology and 2 papers in Oncology. Recurrent topics in MJ Langman's work include Pharmacogenetics and Drug Metabolism (5 papers), Pharmaceutical studies and practices (4 papers) and Pharmacological Effects and Toxicity Studies (3 papers). MJ Langman is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Pharmaceutical studies and practices (4 papers) and Pharmacological Effects and Toxicity Studies (3 papers). MJ Langman collaborates with scholars based in United Kingdom and United States. MJ Langman's co-authors include A. H. Short, Yan Qiu, J. Williams, A. Richens, David Henry, R P Walt, G. D. Bell, Graham R. Sharpe, M. J. Kendall and R A Braithwaite and has published in prestigious journals such as Journal of Endocrinology and British Journal of Clinical Pharmacology.

In The Last Decade

MJ Langman

11 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
MJ Langman United Kingdom	8	109	108	105	76	71	11	424
Roderick K. Roberts United States	10	187 1.7×	116 1.1×	75 0.7×	198 2.6×	25 0.4×	14	671
W. Zilly Germany	14	290 2.7×	184 1.7×	127 1.2×	99 1.3×	33 0.5×	42	683
B.G. Ellis United Kingdom	14	57 0.5×	117 1.1×	48 0.5×	90 1.2×	27 0.4×	17	652
Melih O. Babaoğlu Türkiye	13	118 1.1×	134 1.2×	142 1.4×	99 1.3×	23 0.3×	43	509
P. V. Luoma Finland	16	128 1.2×	98 0.9×	158 1.5×	132 1.7×	43 0.6×	42	687
Dale K. Yu United States	12	95 0.9×	148 1.4×	106 1.0×	26 0.3×	27 0.4×	24	436
A. R. Davidson United Kingdom	10	256 2.3×	63 0.6×	62 0.6×	67 0.9×	15 0.2×	16	604
H. Brösicke Germany	11	139 1.3×	80 0.7×	47 0.4×	123 1.6×	31 0.4×	20	610
D. A. Flockhart United States	9	283 2.6×	132 1.2×	92 0.9×	44 0.6×	106 1.5×	20	554
Sung Eun Sim South Korea	6	321 2.9×	136 1.3×	70 0.7×	175 2.3×	42 0.6×	19	657

Countries citing papers authored by MJ Langman

Since Specialization

Citations

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

Fields of papers citing papers by MJ Langman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MJ Langman

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

All Works

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11 of 11 papers shown

1.

Qiu, Yan, et al.. (2004). Targets of 17beta-oestradiol-induced apoptosis in colon cancer cells: a mechanism for the protective effects of hormone replacement therapy?. Journal of Endocrinology. 181(2). 327–337. 18 indexed citations

2.

Qiu, Yan, et al.. (2002). Oestrogen-induced apoptosis in colonocytes expressing oestrogen receptor beta. Journal of Endocrinology. 174(3). 369–377. 95 indexed citations

3.

Kendall, M. J., et al.. (1994). Lack of effect of H2‐receptor antagonists on the pharmacokinetics of alcohol consumed after food at lunchtime.. British Journal of Clinical Pharmacology. 37(4). 371–374. 6 indexed citations

4.

Walt, R P, et al.. (1987). Oral phenytoin pharmacokinetics during omeprazole therapy.. British Journal of Clinical Pharmacology. 24(4). 543–545. 80 indexed citations

5.

Williams, J., et al.. (1985). The effects of sucralfate upon phenytoin absorption in man.. British Journal of Clinical Pharmacology. 20(3). 238–240. 19 indexed citations

6.

Henry, David, et al.. (1985). L‐643.441: an H2‐receptor antagonist with potent and long‐lasting effects in man.. British Journal of Clinical Pharmacology. 20(2). 133–136. 1 indexed citations

7.

Henry, David, et al.. (1984). Omeprazole: effects on oxidative drug metabolism.. British Journal of Clinical Pharmacology. 18(2). 195–200. 47 indexed citations

8.

Henry, David, et al.. (1979). The [14C]‐aminopyrine breath test. A comparison of different forms of analysis.. British Journal of Clinical Pharmacology. 8(6). 539–545. 25 indexed citations

9.

Langman, MJ, et al.. (1978). The effect of vitamin supplementation upon antipyrine metabolism in the elderly.. British Journal of Clinical Pharmacology. 5(2). 181–185. 22 indexed citations

10.

Langman, MJ, et al.. (1977). Antipyrine metabolism in iron deficiency [proceedings]. British Journal of Clinical Pharmacology. 4(5). 631P–631P. 3 indexed citations

11.

Langman, MJ, et al.. (1975). Changes in drug metabolism with increasing age: 2. phenytoin clearance and protein binding.. British Journal of Clinical Pharmacology. 2(1). 73–79. 108 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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