M. Welch

441 total citations
10 papers, 388 citations indexed

About

M. Welch is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, M. Welch has authored 10 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in M. Welch's work include Hormonal Regulation and Hypertension (4 papers), Steroid Chemistry and Biochemistry (3 papers) and Hormonal and reproductive studies (2 papers). M. Welch is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Steroid Chemistry and Biochemistry (3 papers) and Hormonal and reproductive studies (2 papers). M. Welch collaborates with scholars based in United States. M. Welch's co-authors include S. Lieberman, V V Prasad, Richard B. Hochberg, Seymour Lieberman, Frances C. Womack, Sidney P. Colowick, Laura Ponticorvo, John J. Correia and Robley C. Williams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

M. Welch

10 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Welch United States	9	179	144	106	82	66	10	388
Homer R. Harding United States	7	139 0.8×	142 1.0×	83 0.8×	39 0.5×	25 0.4×	13	453
Jerk Vallgårda Sweden	6	110 0.6×	191 1.3×	25 0.2×	96 1.2×	35 0.5×	7	366
Kazutoshi Yanagibashi Japan	15	598 3.3×	448 3.1×	162 1.5×	286 3.5×	68 1.0×	30	1.1k
ROBERT G. GIBBS United States	7	187 1.0×	113 0.8×	103 1.0×	67 0.8×	10 0.2×	19	406
Richard W. Zink United States	11	243 1.4×	56 0.4×	59 0.6×	149 1.8×	48 0.7×	19	523
Sudha M. Cowsik India	15	269 1.5×	82 0.6×	42 0.4×	245 3.0×	32 0.5×	32	518
Maengseok Song United States	7	201 1.1×	75 0.5×	49 0.5×	98 1.2×	10 0.2×	7	360
Hebe M. Guardiola‐Diaz United States	7	340 1.9×	80 0.6×	57 0.5×	53 0.6×	47 0.7×	9	656
Zu Yun Cai United States	10	141 0.8×	158 1.1×	195 1.8×	107 1.3×	6 0.1×	10	385
Barbora Slavı́ková Czechia	11	244 1.4×	35 0.2×	56 0.5×	150 1.8×	27 0.4×	30	457

Countries citing papers authored by M. Welch

Since Specialization

Citations

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

Fields of papers citing papers by M. Welch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Welch

This figure shows the co-authorship network connecting the top 25 collaborators of M. Welch. A scholar is included among the top collaborators of M. 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 M. Welch. M. Welch 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:

10 of 10 papers shown

1.

Welch, M., et al.. (2003). The detection of 20(S)-hydroxycholesterol in extracts of rat brains and human placenta by a gas chromatograph/mass spectrometry technique. The Journal of Steroid Biochemistry and Molecular Biology. 85(1). 57–61. 23 indexed citations

2.

Prasad, V V, et al.. (1994). Precursors of the neurosteroids.. Proceedings of the National Academy of Sciences. 91(8). 3220–3223. 45 indexed citations

3.

Prasad, V V, et al.. (1993). Steroids and their conjugates in the mammalian brain.. Proceedings of the National Academy of Sciences. 90(1). 85–88. 128 indexed citations

4.

Prasad, V V, et al.. (1992). Steroidogenic potential of lyophilized mitochondria from bovine adrenocortical tissue.. Proceedings of the National Academy of Sciences. 89(9). 4173–4177. 7 indexed citations

5.

Correia, John J., M. Welch, & Robley C. Williams. (1987). Evidence for the spontaneous formation of disulfide crosslinked aggregates of tubulin during nondenaturing electrophoresis. Archives of Biochemistry and Biophysics. 255(2). 244–253. 10 indexed citations

6.

Welch, M., et al.. (1980). The lipoidal derivatives of steroids as biosynthetic intermediates.. Journal of Biological Chemistry. 255(6). 2487–2492. 15 indexed citations

7.

Hochberg, Richard B., et al.. (1979). Naturally occurring lipoidal derivatives of 3β-hydroxy-5-pregnen-20-one; 3β, 17α-dihydroxy-5-pregnen-20-one and 3β-hydroxy-5-androsten-17-one. Journal of Steroid Biochemistry. 11(4). 1333–1340. 35 indexed citations

8.

Hochberg, Richard B., et al.. (1974). Cholesterol and cholesterol sulfate as substrates for the adrenal side-chain cleavage enzyme. Biochemistry. 13(9). 1938–1945. 42 indexed citations

9.

Hochberg, Richard B., et al.. (1974). Simple and precise assay of the enzymic conversion of cholesterol into pregnenolone. Biochemistry. 13(3). 603–609. 49 indexed citations

10.

Womack, Frances C., et al.. (1973). Purification and serological comparison of the yeast hexokinases P-I and P-II. Archives of Biochemistry and Biophysics. 158(2). 451–457. 34 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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