WH Herman

608 total citations
9 papers, 473 citations indexed

About

WH Herman is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, WH Herman has authored 9 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in General Health Professions and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in WH Herman's work include Diabetes Management and Education (3 papers), Diabetes Treatment and Management (2 papers) and Dementia and Cognitive Impairment Research (2 papers). WH Herman is often cited by papers focused on Diabetes Management and Education (3 papers), Diabetes Treatment and Management (2 papers) and Dementia and Cognitive Impairment Research (2 papers). WH Herman collaborates with scholars based in United States and Netherlands. WH Herman's co-authors include G. M. McQuillan, Josef Coresh, Marcel E. Salive, Robert B. Gerzoff, Barbara G. Kravitz, Ruslan Horblyuk, J. David Curb, A. W. Bakst, Neil Steers and Jinhu Wu and has published in prestigious journals such as Journal of General Internal Medicine, American Journal of Kidney Diseases and Annals of Epidemiology.

In The Last Decade

WH Herman

8 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
WH Herman United States	3	284	114	68	60	56	9	473
Larry Agodoa United States	6	305 1.1×	136 1.2×	71 1.0×	58 1.0×	94 1.7×	7	532
A Otero Spain	8	219 0.8×	107 0.9×	82 1.2×	36 0.6×	65 1.2×	18	407
Paloma Gallar Spain	12	353 1.2×	92 0.8×	71 1.0×	33 0.6×	116 2.1×	31	506
Aniana Oliet Spain	12	369 1.3×	124 1.1×	117 1.7×	46 0.8×	93 1.7×	42	600
Aghogho Okparavero United States	12	371 1.3×	126 1.1×	68 1.0×	46 0.8×	49 0.9×	14	641
Kyu Bok Choi South Korea	14	243 0.9×	108 0.9×	71 1.0×	26 0.4×	65 1.2×	30	426
Shelagh O’Riordan United Kingdom	8	444 1.6×	139 1.2×	92 1.4×	36 0.6×	47 0.8×	13	683
Michael P. Delaney United Kingdom	14	431 1.5×	121 1.1×	91 1.3×	40 0.7×	83 1.5×	24	686
Chang-Yun Yoon South Korea	13	271 1.0×	98 0.9×	69 1.0×	48 0.8×	59 1.1×	27	548
Enrique Rojas–Campos Mexico	14	347 1.2×	88 0.8×	65 1.0×	64 1.1×	72 1.3×	57	616

Countries citing papers authored by WH Herman

Since Specialization

Citations

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

Fields of papers citing papers by WH Herman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of WH Herman

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

9 of 9 papers shown

1.

Brown, Arleen F., et al.. (2008). Identifying risk factors for racial disparities in diabetes outcomes: The translating research into action for diabetes (TRIAD) study. Journal of General Internal Medicine. 23. 319–319. 1 indexed citations

2.

Herman, WH, et al.. (2005). PDB21 HEALTH CARE RESOURCE UTILIZATION AND COST IN TYPE-2 DIABETES PATIENTS RECEIVING COMBINATION SULFONYLUREA (SU) AND ROSIGLITAZONE (RSG): THE RESULT TRIAL. Value in Health. 8(3). 358–358.

3.

Palmer, Andrew, et al.. (2005). DN2 COST-UTILITY ANALYSIS IN A UK SETTING OF SELF MONITORING OF BLOOD GLUCOSE IN PATIENTS WITH TYPE-2 DIABETES. Value in Health. 8(6). A14–A15. 1 indexed citations

4.

Herman, WH, et al.. (2005). Reduction in use of healthcare services with combination sulfonylurea and rosiglitazone: findings from the Rosiglitazone Early vs SULfonylurea Titration (RESULT) study.. PubMed. 11(4). 273–8. 13 indexed citations

5.

Gerzoff, Robert B., et al.. (2004). A comparison of diabetes care quality in VA and commercial managed care: The Triad study.. Journal of General Internal Medicine. 19. 109–109. 7 indexed citations

6.

Gerzoff, Robert B., et al.. (2004). A comparison of diabetes care quality in VA and commercial managed care: The Triad study. - eScholarship. 1 indexed citations

7.

Wu, Jinhu, et al.. (2002). #27 Diabetes as a predictor of change in cognitive functioning among older mexican americans – a population-based cohort study. Annals of Epidemiology. 12(7). 499–500. 2 indexed citations

8.

Wu, Jinhu, et al.. (2002). #28 Impact of antidiabetic medications on physical and cognitive functioning of older mexican americans with diabetes mellitus. Annals of Epidemiology. 12(7). 500–500. 1 indexed citations

9.

McQuillan, G. M., et al.. (1998). Serum creatinine levels in the US population: Third National Health and Nutrition Examination Survey. American Journal of Kidney Diseases. 32(6). 992–999. 447 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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