H. G. Kwa

1.2k total citations
53 papers, 1.0k citations indexed

About

H. G. Kwa is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Genetics. According to data from OpenAlex, H. G. Kwa has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Oncology and 15 papers in Genetics. Recurrent topics in H. G. Kwa's work include Growth Hormone and Insulin-like Growth Factors (28 papers), Cancer Risks and Factors (16 papers) and Estrogen and related hormone effects (13 papers). H. G. Kwa is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (28 papers), Cancer Risks and Factors (16 papers) and Estrogen and related hormone effects (13 papers). H. G. Kwa collaborates with scholars based in Netherlands, United Kingdom and United States. H. G. Kwa's co-authors include J.L. Hayward, D. Y. Wang, F. J. Cleton, R.D. Bulbrook, R.D. Bulbrook, A.A. Verstraeten, M. De Jong‐Bakker, Bianca De Stavola, E Engelsman and D.Y. Wang and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Annals of the New York Academy of Sciences.

In The Last Decade

H. G. Kwa

52 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. G. Kwa Netherlands 19 474 332 303 182 131 53 1.0k
K. Klinga Germany 17 235 0.5× 161 0.5× 234 0.8× 143 0.8× 240 1.8× 54 843
Jeffrey C. Webster United States 12 352 0.7× 146 0.4× 451 1.5× 394 2.2× 117 0.9× 14 1.2k
Xuan-Ping Pang United States 16 467 1.0× 135 0.4× 99 0.3× 289 1.6× 64 0.5× 23 830
D Simon France 12 315 0.7× 85 0.3× 279 0.9× 501 2.8× 94 0.7× 19 1.0k
Edith Markoff United States 21 541 1.1× 73 0.2× 274 0.9× 329 1.8× 301 2.3× 41 1.2k
A E Pekary United States 15 493 1.0× 90 0.3× 76 0.3× 213 1.2× 110 0.8× 16 864
Ralph Telgmann Germany 16 207 0.4× 99 0.3× 249 0.8× 315 1.7× 271 2.1× 30 1.2k
Ronnie J. Barkey Israel 20 649 1.4× 47 0.1× 180 0.6× 299 1.6× 200 1.5× 42 964
Charlotte Swanson Sweden 17 437 0.9× 131 0.4× 282 0.9× 413 2.3× 95 0.7× 17 951
Marie-Catherine Postel-Vinay France 11 598 1.3× 95 0.3× 284 0.9× 317 1.7× 39 0.3× 12 847

Countries citing papers authored by H. G. Kwa

Since Specialization
Citations

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

Fields of papers citing papers by H. G. Kwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. G. Kwa. 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 H. G. Kwa. The network helps show where H. G. Kwa may publish in the future.

Co-authorship network of co-authors of H. G. Kwa

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

All Works

20 of 20 papers shown
1.
Stepniewska, Kasia, D.S. Allen, IS Fentiman, et al.. (1995). Serum prolactin levels and their relationship to survival in women with operable breast cancer. Journal of Clinical Epidemiology. 48(7). 959–968. 23 indexed citations
2.
Stavola, Bianca De, R.D. Bulbrook, DS Allen, et al.. (1992). Relationship of Blood Prolactin Levels and the Risk of Subsequent Breast Cancer. International Journal of Epidemiology. 21(2). 214–221. 58 indexed citations
3.
Wang, D.Y., Bianca De Stavola, R.D. Bulbrook, et al.. (1988). The permanent effect of reproductive events on blood prolactin levels and its relation to breast cancer risk: a population study of postmenopausal women. European Journal of Cancer and Clinical Oncology. 24(7). 1225–1231. 63 indexed citations
4.
Wang, D.Y., Bianca De Stavola, R.D. Bulbrook, et al.. (1987). The relationship between blood prolactin levels and risk of breast cancer in premenopausal women. European Journal of Cancer and Clinical Oncology. 23(10). 1541–1548. 43 indexed citations
5.
Wang, D.Y., S. J. HAMPSON, H. G. Kwa, et al.. (1986). Serum prolactin levels in women with breast cancer and their relationship to survival. European Journal of Cancer and Clinical Oncology. 22(4). 487–492. 43 indexed citations
6.
Bulbrook, R.D., D. Y. Wang, J.L. Hayward, H. G. Kwa, & F. J. Cleton. (1981). Plasma prolactin levels and age in a female population: Relation to breast cancer. International Journal of Cancer. 28(1). 43–45. 21 indexed citations
7.
8.
Kwa, H. G., et al.. (1978). Abnormalites in evening plasma prolactin levels in nulliparous women with benign or malignant breast disease. International Journal of Cancer. 22(6). 687–690. 14 indexed citations
9.
Verstraeten, A.A., R. Van Nie, H. G. Kwa, & Ph. Hageman. (1975). Quantitative estimation of mouse mammary tumor virus (MTV) antigens by radioimmunoassay. International Journal of Cancer. 15(2). 270–281. 27 indexed citations
10.
Verstraeten, A.A., Ph. Hageman, & H. G. Kwa. (1973). A radioimmunoassay for MTV-antigens. European Journal of Cancer (1965). 9(2). 155–157. 11 indexed citations
11.
Boot, L. M., et al.. (1973). Radioimrnunoassay of mouse prolactin prolactin levels in isograft-bearing orchidectomized mice. European Journal of Cancer (1965). 9(3). 185–193. 4 indexed citations
12.
Kwa, H. G., et al.. (1972). Some immunological properties of canine prolactin. European Journal of Cancer (1965). 8(5). 579–579. 3 indexed citations
13.
Kwa, H. G., et al.. (1972). Effect of pituitary tumours and grafts on plasma prolactin levels. European Journal of Cancer (1965). 8(1). 39–53. 14 indexed citations
14.
Kwa, H. G., et al.. (1970). THE RATE OF ELIMINATION OF PROLACTIN AS A DETERMINANT FACTOR FOR PLASMA LEVELS ASSAYED IN RATS. Journal of Endocrinology. 48(2). 299–300. 3 indexed citations
15.
Kwa, H. G., et al.. (1969). Radioimmunoassay of rat prolactin. European Journal of Cancer (1965). 5(6). 571–579. 61 indexed citations
16.
Kwa, H. G., et al.. (1967). Radioimmunoassay of rat prolactin. Biochimica et Biophysica Acta (BBA) - Protein Structure. 133(1). 186–188. 35 indexed citations
17.
Kwa, H. G. & Constance A. Feltkamp. (1965). TRANSFORMATION OF PITUITARY TUMOURS FROM PROLACTIN-INTO TSH-CELL TYPE II. ENDOCRINE ASPECTS. European Journal of Endocrinology. 49(3_Suppl). S162–S162. 1 indexed citations
18.
Feltkamp, Constance A. & H. G. Kwa. (1965). TRANSFORMATION OF PITUITARY TUMOURS FROM PROLACTIN-INTO TSH-CELL TYPES I. ELECTRON MICROSCOPICAL OBSERVATIONS. European Journal of Endocrinology. 49(3_Suppl). S161–S161. 1 indexed citations
19.
Kwa, H. G.. (1965). ISOLATION OF PROLACTIN FROM A SUB-CELLULAR FRACTION OF TRANSPLANTED PITUITARY TUMOURS. European Journal of Endocrinology. 49(3_Suppl). S165–S165. 4 indexed citations
20.
Kwa, H. G., et al.. (1965). Studies on hormones from the anterior pituitary gland I. Identification and isolation of growth hormone and prolactin from the “granular” fraction of bovine pituitary. Biochimica et Biophysica Acta (BBA) - General Subjects. 111(2). 447–465. 15 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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