AB Grossman

636 total citations
10 papers, 476 citations indexed

About

AB Grossman is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, AB Grossman has authored 10 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in AB Grossman's work include Pituitary Gland Disorders and Treatments (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). AB Grossman is often cited by papers focused on Pituitary Gland Disorders and Treatments (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). AB Grossman collaborates with scholars based in United Kingdom, Hungary and Germany. AB Grossman's co-authors include Gregory Kaltsas, Andrea Rockall, Márta Korbonits, Rodney H. Reznek, Dimitrios Papadogias, David J. Evans, G. M. Besser, JP Monson, R H Reznek and Andrea M. Isidori and has published in prestigious journals such as European Journal of Endocrinology, PubMed and Yearbook of pediatric endocrinology.

In The Last Decade

AB Grossman

9 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
AB Grossman United Kingdom	7	216	214	103	103	96	10	476
J. Z. Dong France	5	308 1.4×	246 1.1×	57 0.6×	47 0.5×	52 0.5×	5	454
Shuji Matsubara Japan	10	46 0.2×	138 0.6×	73 0.7×	39 0.4×	79 0.8×	28	390
Alfonso Leal Spain	7	301 1.4×	75 0.4×	45 0.4×	49 0.5×	23 0.2×	13	387
Eugenio De Carlo Italy	13	178 0.8×	79 0.4×	52 0.5×	62 0.6×	60 0.6×	41	444
Konstanze Miehle Germany	11	246 1.1×	131 0.6×	24 0.2×	125 1.2×	22 0.2×	32	623
Alexander Lammert Germany	12	215 1.0×	66 0.3×	54 0.5×	64 0.6×	41 0.4×	21	363
Chang Soon Koh South Korea	10	171 0.8×	54 0.3×	34 0.3×	87 0.8×	24 0.3×	42	426
G Pozza Italy	12	103 0.5×	63 0.3×	24 0.2×	172 1.7×	110 1.1×	43	502
S. Obradović Czechia	7	342 1.6×	44 0.2×	23 0.2×	43 0.4×	20 0.2×	9	455
Ji Hun Choi South Korea	8	292 1.4×	147 0.7×	27 0.3×	34 0.3×	73 0.8×	16	497

Countries citing papers authored by AB Grossman

Since Specialization

Citations

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

Fields of papers citing papers by AB Grossman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of AB Grossman

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

All Works

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10 of 10 papers shown

1.

Fiore, Daniela, Emilia Sbardella, Riccardo Pofi, et al.. (2019). Circadian rhythm of glucocorticoid administration entrains clock genes in immune cells: A DREAM trial ancillary study. Yearbook of pediatric endocrinology.

2.

Kola, Blerina, et al.. (2009). Expression of ghrelin O-acyltransferase (GOAT), the newly-identified ghrelin acylation enzyme, in various human tissues. 19. 2 indexed citations

3.

Hubina, Erika, et al.. (2005). Novel molecular aspects of pituitary adenomas.. PubMed. 28(11 Suppl International). 87–92. 9 indexed citations

4.

Kaltsas, Gregory, Andrea Rockall, Dimitrios Papadogias, Rodney H. Reznek, & AB Grossman. (2004). Recent advances in radiological and radionuclide imaging and therapy of neuroendocrine tumours. European Journal of Endocrinology. 151(1). 15–27. 138 indexed citations

5.

Korbonits, Márta & AB Grossman. (2004). Ghrelin: update on a novel hormonal system. European Journal of Endocrinology. 151 Suppl 1. S67–S70. 63 indexed citations

6.

Rockall, Andrea, David J. Evans, Gregory Kaltsas, et al.. (2003). Hepatic steatosis in Cushing's syndrome: a radiological assessment using computed tomography. European Journal of Endocrinology. 149(6). 543–548. 134 indexed citations

7.

Rockall, Andrea, David J. Evans, Gregory Kaltsas, et al.. (2003). Computed tomography assessment of fat distribution in male and female patients with Cushing's syndrome. European Journal of Endocrinology. 149(6). 561–567. 93 indexed citations

8.

Satta, M A, Márta Korbonits, Robert A. Jacobs, et al.. (1999). Expression of menin gene mRNA in pituitary tumours. European Journal of Endocrinology. 140(4). 358–361. 24 indexed citations

9.

Korbonits, Márta, et al.. (1996). Insulin-like growth factor-I and- II in combination inhibit the release of growth hormone-releasing hormone from the rat hypothalamus in vitro.. PubMed. 6(2). 110–20. 11 indexed citations

10.

Delitala, Giuseppe, et al.. (1980). Alteration of prolactin secretion by centrally acting drugs.. PubMed. 24. 399–406. 2 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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